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Advanced Intelligent Computing Technology and Applications : 20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part VIII / / edited by De-Shuang Huang, Wei Chen, Yijie Pan
| Advanced Intelligent Computing Technology and Applications : 20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part VIII / / edited by De-Shuang Huang, Wei Chen, Yijie Pan |
| Autore | Huang De-Shuang |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (525 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
ChenWei
PanYijie |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computational intelligence
Machine learning Computer networks Application software Computational Intelligence Machine Learning Computer Communication Networks Computer and Information Systems Applications |
| ISBN | 981-9756-03-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part VIII -- Image Processing -- Protecting Image Copyrights Based on the AUL Algorithm and Blockchain -- 1 Introduction -- 2 Related Work -- 3 System Model -- 3.1 Overall Architecture -- 3.2 Deep Learning Model -- 4 Experiment About Deep Learning Model -- 4.1 Experiment Environment and Setup -- 4.2 Stability Comparison with Several Algorithms -- 4.3 Threshold Determination and Algorithm Comparison -- 4.4 Comparison with Other Deep Learning Models -- 4.5 Contract Testing -- 5 Conclusion -- References -- MAPNet: A Multi-scale Attention Pooling Network for Ultrasound Medical Image Segmentation -- 1 Introduction -- 2 Related Work -- 2.1 Medical Image Segmentation Based on U-Net and Attention Mechanism -- 2.2 Dilated Convolution -- 3 Methodology -- 3.1 MAPNet for Image Segmentation -- 3.2 Improved Encoder and Decoder -- 3.3 Attention Module for Connection -- 4 Experiments -- 4.1 Datasets, Implementation Details, and Evaluation Indicators -- 4.2 Comparison with Existing Methods -- 4.3 Ablation Study -- 5 Conclusion -- References -- Fusion of Saliency and Edge Map for Multi-operator Image Retargeting Algorithm -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Saliency Detection Based on U2Net -- 3.2 Edge Detection Based on Adaptive Canny Operator -- 3.3 Importance Map -- 3.4 Weight Calculation of Three Feature Map -- 3.5 Multi-operators -- 4 Experimental Analysis -- 4.1 Qualitative Analysis -- 4.2 Quantitative Analysis -- 4.3 Explanation of the Situation -- 4.4 Ablation Studies -- 5 Conclusion -- References -- MOD-YOLO: Improved YOLOv5 Based on Multi-softmax and Omni-Dimensional Dynamic Convolution for Multi-label Bridge Defect Detection -- 1 Introduction -- 2 Related Works -- 2.1 Object Detection Networks -- 2.2 Defect Detection Methods -- 2.3 Defect Detection Methods.
3 Proposed Method -- 3.1 Defect Detection Methods -- 3.2 Multi-softmax for Detection -- 3.3 Enhancements in Backbone Network with ODConv -- 4 Result Analysis -- 4.1 Experimental Environment and Dataset -- 4.2 Comparison Experiments -- 4.3 Ablation Experiments -- 5 Conclusion -- References -- Color Image Steganography Based on Two-Channel Preprocessing and U-Net Network -- 1 Introduction -- 2 Related Works -- 2.1 U-Net Structure -- 2.2 SENet Attention Mechanism -- 3 Proposed Method -- 3.1 Preprocessing Network -- 3.2 Hiding Network -- 3.3 Extracting Network -- 3.4 Loss Function -- 4 Experimental Results -- 4.1 Visual Effects -- 4.2 Image Quality -- 4.3 Ablation Experiment -- 4.4 Steganography Capacity -- 4.5 Robustness Analysis -- 5 Conclusions -- References -- Application of a Hybrid Particle Image Velocimetry Method Based on Window Function in the Field of Turbulence -- 1 Introduction -- 2 Related Work -- 2.1 Turbulent Particle Images -- 2.2 Test Evaluation Criteria -- 3 The Specific Application Process of Window Function in Particle Image Velocimetry -- 4 Experimental Design and Simulation -- 5 Conclusion -- References -- Semantics-Enhanced Refiner in Skip Connection for Crack Segmentation -- 1 Introduction -- 2 Methodology -- 2.1 Feature Extraction Block -- 2.2 Semantics-Enhanced Refiner (SER) -- 2.3 Loss Function -- 3 Experiential Results and Analysis -- 3.1 Datasets -- 3.2 Evaluation Metrics -- 3.3 Experimental Settings -- 3.4 Result Analysis -- 3.5 Ablation Experiment -- 4 Conclusion -- References -- Refinement Correction Network for Scene Text Detection -- 1 Introduction -- 2 Related Work -- 2.1 Transformer Based Methods -- 2.2 CNN Based Regression Methods -- 2.3 CNN Based Segmentation Methods -- 3 Propose Method -- 3.1 Overall Framework -- 3.2 Rough Feature Refinement Module -- 3.3 Clue Feature Correction Module -- 4 Experiment. 4.1 Datasets -- 4.2 Experimental Setup -- 4.3 Ablation Experiment -- 4.4 Comparative Experiment -- 5 Conclusion -- References -- Weight Uncertainty Network for Low-Light Image Enhancement -- 1 Introduction -- 2 Related Work -- 2.1 Low-Light Image Enhancement -- 2.2 Bayesian Neural Network -- 3 Method -- 3.1 Weight Uncertainty in Neural Networks -- 3.2 Architecture Formulation and Non-Reference Losses -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Comparison with State-of-the-Arts -- 4.3 Ablation Study -- 5 Conclusion -- References -- Unsupervised Extremely Low-Light Image Enhancement with a Laplacian Pyramid Network -- 1 Introduction -- 2 Related Work -- 3 Unsupervised Extremely Low-Light Image Enhancement with a Laplacian Pyramid Network -- 3.1 Motivations -- 3.2 Networks -- 3.3 Loss Functions -- 4 Experimental Results -- 4.1 Datasets and Training Details -- 4.2 Baselines and Evaluation Metrics -- 4.3 Comparing to State-of-the-Arts -- 4.4 Ablation Study -- 5 Conclusion -- References -- A Multimodal Fake News Detection Model with Self-supervised Unimodal Label Generation -- 1 Introduction -- 2 Related Work -- 2.1 Unimodal Fake News Detection -- 2.2 Multimodal Fake News Detection -- 3 Proposed Method -- 3.1 Feature Extraction Module -- 3.2 Multimodal Feature Fusion -- 3.3 Unimodal Label Generation -- 3.4 Model Optimization and Prediction -- 4 Experimental Analysis -- 4.1 Experimental Configurations -- 4.2 Overall Performance -- 4.3 Ablation Study -- 5 Conclusion -- References -- Image Denoising Based on an Improved Wavelet Threshold and Total Variation Model -- 1 Introduction -- 2 Preliminaries -- 2.1 Analysis of Lung CT Image Features -- 2.2 TV Framework -- 2.3 Wavelet Threshold Denoising -- 3 Methodology -- 3.1 Improved Thresholding Function -- 3.2 Proposed Method -- 4 Experimental Results and Analysis -- 5 Conclusion -- References. A Two-Stage Coupled Learning Network for Image Deblurring -- 1 Introduction -- 2 Proposed Method -- 2.1 Network Architecture -- 2.2 Blur Feature Decoupling Stage -- 2.3 Coupled Learning Stage -- 2.4 Loss Function -- 3 Experimental Results -- 3.1 Experimental Setting -- 3.2 Comparisons with the State of the Arts -- 4 Conclusion -- References -- Palmprint Recognition Using SC-LNMF Model in Gabor Domain -- 1 Introduction -- 2 The Modified 2D Gabor Wavelet -- 2.1 The Mathematics Form of 2D Gabor Wavelet -- 2.2 Image's Gabor Representation -- 3 The Modified SC-LNMF Algorithm -- 3.1 The LNMF Algorithm -- 3.2 The SC-LNMF Algorithm -- 4 Experimental Results and Analysis -- 4.1 Test Data Preprocessing -- 4.2 Learning Feature Bases -- 4.3 Representation of Test Images -- 4.4 Recognition Results of Palmprint Images -- 5 Conclusions -- References -- SkinDiff: A Novel Data Synthesis Method Based on Latent Diffusion Model for Skin Lesion Segmentation -- 1 Introduction -- 2 Related Works -- 2.1 Skin Lesion Segmentation -- 2.2 Diffusion Model -- 3 Methods -- 3.1 Generating Foreground Stage -- 3.2 Outpainting Background Stage -- 4 Experiments -- 4.1 Dataset -- 4.2 Evaluation Metrics -- 4.3 Implementation Details -- 4.4 Evaluations and Analyses -- 5 Conclusion -- References -- MFAAnet: New Feature Extraction Network in Image Super-Resolution -- 1 Introduction -- 2 Methodology -- 2.1 The Overall Structure -- 2.2 Multi-scale Attention Block -- 2.3 Multi-features Extraction Block -- 3 Experiments -- 3.1 Datasets and Metrics -- 3.2 Training Details -- 3.3 Ablation Study -- 3.4 Comparisons with State-of-the-Arts -- 4 Conclusion -- References -- Context-Aware Relative Distinctive Feature Learning for Person Re-identification -- 1 Introduction -- 1.1 Challenge 1: How to Leverage the Relative Nature of Distinctive Features in the Context of ReID. 1.2 Challenge 2: How to Alliviate the Confilicts Between the ID Consistency (Triplet Loss) and Visual Consistency -- 2 Method -- 2.1 Model Overview -- 2.2 Exploring Relative Discriminative Regions with Contextual Awareness -- 2.3 Visual Consistency N-Tuple Loss Function -- 3 Experiment -- 3.1 Experimental Overview -- 3.2 Performance Evaluation and Comparison -- 3.3 Performance Evaluation in Generalized Person Re-identification -- 3.4 Ablation Study -- 4 Conclusion -- References -- Image Captioning with Masked Diffusion Model -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Features Fusion -- 3.2 Masked Diffusion -- 3.3 Embedding and Rounding -- 4 Experiments -- 4.1 Experimental Setup and Implementation Details -- 4.2 Experimental Results -- 4.3 Ablation on the Key Designs -- 4.4 Hyperparameter Analysis -- 4.5 Qualitative Results -- 5 Conclusion -- References -- Textile Defect Detection Based on Multi-proportion Spatial Pyramid Convolution and Adaptive Multi-scale Feature Fusion -- 1 Introduction -- 2 Baseline Model YOLOv8 -- 3 The Proposed Model -- 3.1 Feature Extraction Stage -- 3.2 Stage of Feature Fusion -- 4 Experiment and Result -- 4.1 Experimental Environment -- 4.2 Ablation Experiments -- 4.3 Comparative Experiment -- 5 Conclusion -- References -- Real-Time Detection of Multi-scale Traffic Signs Based on Decoupled Heads -- 1 Introduction -- 2 Related Work -- 2.1 Traffic-Signs Recognition -- 2.2 Small Object Detection -- 3 Methodology -- 3.1 Additional Detection Head -- 3.2 Decoupled Head -- 3.3 Triplet Attention -- 3.4 C3RFE -- 4 Experiments and Results -- 4.1 Datasets -- 4.2 Experimental Environment -- 4.3 Experiment Results -- 4.4 Ablation Study -- 5 Conclusion -- References -- LAROD-HD: Low-Cost Adaptive Real-Time Object Detection for High-Resolution Video Surveillance -- 1 Introduction -- 2 Related Works -- 2.1 Small Object Detection. 2.2 Object Detection on High-Resolution Images. |
| Record Nr. | UNINA-9910878982303321 |
Huang De-Shuang
|
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Intelligent Computing Technology and Applications : 20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part IV / / edited by De-Shuang Huang, Chuanlei Zhang, Wei Chen
| Advanced Intelligent Computing Technology and Applications : 20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part IV / / edited by De-Shuang Huang, Chuanlei Zhang, Wei Chen |
| Autore | Huang De-Shuang |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (516 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
ZhangChuanlei
ChenWei |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computational intelligence
Computer networks Machine learning Application software Computational Intelligence Computer Communication Networks Machine Learning Computer and Information Systems Applications |
| ISBN | 981-9755-91-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part IV -- Neural Networks -- Multi-mode Graph Attention-Based Anomaly Detection on Attributed Networks -- 1 Introduction -- 2 Problem Definition -- 3 The MulGAT Approach -- 3.1 Network Encoder -- 3.2 Structure and Attribute Decoder -- 3.3 Anomaly Detection -- 3.4 Experimental Setup -- 3.5 Results Analysis -- 3.6 Parameter Analysis -- 3.7 Ablation Study -- 4 Conclusions -- References -- A Hierarchical Multi-scale Cortical Learning Algorithm for Time Series Forecasting -- 1 Introduction -- 2 Related Work -- 2.1 CLA -- 2.2 Multi-scale Method -- 3 Hierarchical Multi-scale CLA -- 3.1 Hierarchical Multi-scale CLA Structure -- 3.2 Multi-scale Temporal Context Disentanglement -- 3.3 Adaptive Decoder for Prediction Aggregation -- 4 Experiment -- 4.1 Datasets -- 4.2 Comparison Algorithms -- 4.3 Evaluation Metric -- 4.4 Experimental Parameters -- 4.5 Time Series Forecasting -- 4.6 Epoch Evaluation -- 4.7 Comparison of Column Number Training -- 5 Conclusion -- References -- Knowledge Tracing with Contrastive Learning and Attention-Based Long Short-Term Memory Network -- 1 Introduction -- 2 Model -- 2.1 Problem Formulation -- 2.2 Embedding -- 2.3 ALSTM -- 2.4 Prediction -- 2.5 CL Framework -- 3 Experiments and Analysis -- 3.1 Datasets -- 3.2 Baselines -- 3.3 Evaluation Metrics and Parameter Settings -- 3.4 Comparison of Performance (RQ1) -- 3.5 Comparison on Augmentation Methods (RQ2) -- 3.6 Influence of Model Components (RQ3) -- 3.7 Case Study -- 4 Conclusion -- References -- Multi-label Classification for Concrete Defects Based on EfficientNetV2 -- 1 Introduction -- 2 Related Work -- 2.1 Attention Mechanism -- 3 Methodology -- 3.1 Spatial and Channel Reconstruction Attention Module -- 3.2 Spatial Pyramid Pooling-Fast -- 3.3 Asymmetric Loss -- 4 Experimental Study -- 4.1 Dataset -- 4.2 Evaluation Metrics.
4.3 Experiment Results and Analysis -- 5 Conclusion -- References -- 3D Convolution Channel Compression for Stereo Matching -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Analysis of the Cost Aggregation Module -- 3.2 3D Convolution Channel Compression for Stereo Matching -- 3.3 Analysis of Computational Efficiency -- 4 Experiments and Results -- 4.1 Datasets and Evaluation Metrics -- 4.2 Experimental Setup -- 4.3 Channel Compression for PSMNet -- 4.4 Channel Compression for GwcNet -- 4.5 Channel Compression for CFNet -- 4.6 KITTI Benchmark -- 5 Conclusion -- References -- Designing Real-Time Neural Networks by Efficient Neural Architecture Search -- 1 Introduction -- 2 Related Work -- 2.1 Neural Network Design -- 2.2 Time Analysis of Neural Networks -- 3 Problem Formulation -- 4 RetNAS Framework -- 4.1 EVT-Based WCET Estimator -- 4.2 Constraint Schedule -- 4.3 Maximum Entropy-Based Search -- 5 Experiments -- 5.1 Experimental Settings -- 5.2 Evaluation for WCET Estimator -- 5.3 Comparison with Hand-Crafted Neural Architecture -- 5.4 Comparative Analysis with SOTA NAS Methods -- 6 Conclusion -- References -- Uncertainty-Driven Multi-scale Feature Fusion Network for Real-Time Image Deraining -- 1 Introduction -- 2 Uncertainty-Driven Multi-scale Feature Fusion Network -- 2.1 Encoder-Decoder Deraining Network -- 2.2 Uncertainty Estimation -- 2.3 Loss Function -- 3 Experimental -- 3.1 Experimental Settings -- 3.2 Experimental Settings -- 3.3 Ablation Study -- 3.4 Computational Costs -- 4 Conclusion -- References -- RAY-Net: A Motorcycle Helmet Detection Method Integrated Auxiliary Correction -- 1 Introduction -- 2 Related Works -- 3 Datasets -- 3.1 Open-Source Datasets -- 3.2 EMHDD -- 4 Methodology -- 4.1 RAY-Net -- 4.2 Detector -- 4.3 Recognizer -- 5 Experiments -- 5.1 Settings -- 5.2 Comparison Experiments -- 5.3 Ablation Experiments. 6 Conclusions -- References -- Augmented Fuzzy Min-Max Neural Network Driven to Preprocessing Techniques and Space Search Optimization Algorithm -- 1 Introduction -- 2 Preliminaries and Motivation -- 2.1 Fuzzy Min-Max Neural Network -- 2.2 Motivation of AFMNN -- 3 Architecture of AFMNN -- 3.1 Preprocessing Part by Using Information Gain (IG) -- 3.2 Hyperbox Generation Part -- 4 Design of AFMNN -- 5 Experimental Studies -- 5.1 Experiment I -- 5.2 Experiment II -- 5.3 Experiment III -- 5.4 Experiment IV -- 6 Conclusion -- References -- Building Change Detection Based on Fully Convolutional Network in High-Resolution Remote Sensing Images -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Overall Structure -- 3.2 Feature Difference Enhancement (FDE) Module -- 3.3 Boundary Feature Compensation (BFC) Module -- 3.4 Multi-Scale Feature Aggregation (MSFA) Module -- 3.5 Change Guide Module (CGM) -- 3.6 Loss Function -- 4 Experimental and Analysis -- 4.1 Datasets -- 4.2 Experimental Setup -- 4.3 Comparative Experiment -- 4.4 Ablation Experiments -- 5 Conclusion -- References -- Optimization of NUMA Aware DNN Computing System -- 1 Introduction -- 2 Related Work -- 2.1 Universal NUMA Optimization Technology -- 2.2 Framework Level NUMA Optimization Technology -- 3 DNN Computing Memory Access Latency Model and Optimization Ideas for NUMA Awareness -- 3.1 NUMA Memory Access Latency Model for DNN Computing -- 3.2 Optimization Problem Based on Latency Models -- 3.3 Optimization Ideas for NUMA Aware DNN Computing -- 4 Design of NUMA Aware DNN Computing System -- 4.1 Optimization of Memory Access Patterns Consistency -- 4.2 Batch-Level Parallel Task Allocation -- 4.3 Page-Aligned Memory Allocation and NUMA Aware Memory Pool -- 5 Experiments and Evaluation -- 5.1 Overall Evaluation -- 5.2 Evaluation of Each Layer -- 5.3 Evaluation of Scalability -- 6 Conclusion. References -- Pest-YOLO: A Lightweight Pest Detection Model Based on Multi-level Feature Fusion -- 1 Introduction -- 2 Data Augmentation -- 3 Method -- 3.1 Pest-YOLO Model Architecture -- 3.2 Ghost-CF Module -- 3.3 SERes Detection Heads -- 4 Experimental Analysis -- 4.1 Experimental Dataset -- 4.2 Experimental Environment -- 4.3 Comprehensive Experimental Results -- 5 Conclusion -- References -- Enhanced Tiny Object Detection in Aerial Images -- 1 Introduction -- 2 Related Works -- 2.1 Multi-scale Feature Fusion -- 2.2 Context-Sensitive Feature Fusion -- 3 Methodology -- 3.1 Improved YOLOv5 Framework -- 3.2 Depth-Wise-Reshaping Module -- 3.3 Multi-branch Deep Stripe Attention Module -- 3.4 Decoupled-Head Module -- 4 Experiments and Results -- 4.1 Experimental Settings -- 4.2 Evaluation Metrics -- 4.3 Main Results -- 4.4 Qualitative Research -- 4.5 Ablation Studies -- 5 Conclusion -- References -- Strategic Reparameterization for Enhanced Inference in Imperfect Information Games: A Neural Network Approach -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Enhanced Inferential Reasoning Framework via Reparameterization Method -- 3.2 Constructing a Normal Distribution Aligned with the Current Game Process -- 4 Experiments -- 4.1 Experimental Setup and Data Analysis Methods -- 4.2 Experimental Analysis of Military Chess -- 4.3 Experimental Analysis of Dark Chess -- 4.4 Experimental Analysis of Lord of Rings -- 5 Conclusion -- References -- TSMGAN-II: Generative Adversarial Network Based on Two-Stage Mask Transformer and Information Interaction for Speech Enhancement -- 1 Introduction -- 1.1 Background -- 1.2 Challenges -- 1.3 Contributions -- 2 Proposed Method -- 2.1 Method Description -- 2.2 Generator -- 2.3 Attention Encoder -- 2.4 Two-Stage Mask Transformer -- 2.5 Dual-Feature Decoder with Information Interaction -- 2.6 Lightweight Model. 2.7 Discriminator -- 2.8 Loss Function -- 3 Experiment -- 3.1 Experimental Setup -- 3.2 Baseline -- 3.3 Ablation Experiment -- 3.4 General Experiment -- 4 Conclusion -- References -- Prompt-Based Event Temporal Relation Extraction with Contrastive Learning -- 1 Introduction -- 2 Related Work -- 2.1 Event Temporal Relation Extraction -- 2.2 Prompt-Based Learning -- 2.3 Contrastive Learning -- 3 Method -- 3.1 Prompt Template and Verbalizer Design -- 3.2 Prompt-Based Supervised Contrastive Loss -- 3.3 Prompt-Based Tuning -- 4 Experiment Settings -- 4.1 Datasets -- 4.2 Baselines -- 4.3 Experimental Results -- 4.4 Ablation Study -- 5 Conclusion -- References -- Subdomain Adaption Network Combining Cosine Distance and Angle Margin -- 1 Introduction -- 2 Related Works -- 2.1 Domain Adaptation -- 2.2 Large Margin Cosine Loss and Additive Angular Margin Loss -- 3 Methods -- 3.1 Maximum Mean Discrepancy -- 3.2 Combined Large Margin Cosine Loss and Additive Angular Margin Loss -- 3.3 Standardized Cosine Distance Loss -- 3.4 Network Structure and Cost Function -- 4 Experiment -- 4.1 Datasets -- 4.2 Setup -- 4.3 Results -- 4.4 Ablation Study -- 4.5 Feature Visualization -- 4.6 Parameter Sensitivity Analysis -- 5 Conclusion -- References -- Self-attention-Based Dual-Branch Person Re-identification -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Dual-Branch Network -- 3.2 Self-attention Model -- 4 Experiments -- 4.1 Comparison with Existing Methods -- 4.2 Ablation Experiment -- 5 Conclusion -- References -- Open-Vocabulary Object Detection by Novel-Class Feature Perception Enhancement -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Pretraining by Image Masking -- 3.2 IDF Feature Extraction Network -- 4 Experiment -- 4.1 Setup -- 4.2 Comparison with State-of-the-Art Approaches -- 4.3 Ablation Study -- 5 Conclusion -- References. PLOD-YOLO: Premium Lightweight Object Detection for Autonomous Following Robot. |
| Record Nr. | UNINA-9910879588703321 |
|
Huang De-Shuang
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Intelligent Computing Technology and Applications : 20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part III / / edited by De-Shuang Huang, Zhanjun Si, Yijie Pan
| Advanced Intelligent Computing Technology and Applications : 20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part III / / edited by De-Shuang Huang, Zhanjun Si, Yijie Pan |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (XVIII, 519 p. 268 illus., 184 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computational intelligence
Computer networks Machine learning Application software Computational Intelligence Computer Communication Networks Machine Learning Computer and Information Systems Applications |
| ISBN | 981-9755-88-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910879579203321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Intelligent Computing Technology and Applications : 20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part V / / edited by De-Shuang Huang, Xiankun Zhang, Jiayang Guo
| Advanced Intelligent Computing Technology and Applications : 20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part V / / edited by De-Shuang Huang, Xiankun Zhang, Jiayang Guo |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (XVIII, 515 p. 215 illus., 189 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computational intelligence
Computer networks Machine learning Application software Computational Intelligence Computer Communication Networks Machine Learning Computer and Information Systems Applications |
| ISBN | 981-9755-94-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910879589703321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Intelligent Computing Technology and Applications : 20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part I / / edited by De-Shuang Huang, Xiankun Zhang, Wei Chen
| Advanced Intelligent Computing Technology and Applications : 20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part I / / edited by De-Shuang Huang, Xiankun Zhang, Wei Chen |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (XIX, 525 p. 186 illus., 140 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computational intelligence
Computer networks Machine learning Application software Computational Intelligence Computer Communication Networks Machine Learning Computer and Information Systems Applications |
| ISBN | 9789819755783 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910881091903321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Intelligent Computing Theories and Applications [[electronic resource] ] : 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010, Proceedings / / edited by De-Shuang Huang, Zhongming Zhao, Vitoantonio Bevilacqua, Juan Carlos Figueroa
| Advanced Intelligent Computing Theories and Applications [[electronic resource] ] : 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010, Proceedings / / edited by De-Shuang Huang, Zhongming Zhao, Vitoantonio Bevilacqua, Juan Carlos Figueroa |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (XIX, 689 p. 268 illus.) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer programming
Computer engineering Computer networks User interfaces (Computer systems) Human-computer interaction Artificial intelligence Pattern recognition systems Application software Programming Techniques Computer Engineering and Networks User Interfaces and Human Computer Interaction Artificial Intelligence Automated Pattern Recognition Computer and Information Systems Applications |
| ISBN |
1-280-38823-4
9786613566157 3-642-14922-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Networks -- Evolutionary Learning and Genetic Algorithms -- Fuzzy Theory and Models -- Fuzzy Systems and Soft Computing -- Particle Swarm Optimization and Niche Technology -- Supervised and Semi-supervised Learning -- Unsupervised and Reinforcement Learning -- Combinatorial and Numerical Optimization -- Systems Biology and Computational Biology -- Neural Computing and Optimization -- Nature Inspired Computing and Optimization -- Knowledge Discovery and Data Mining -- Artificial Life and Artificial Immune Systems -- Intelligent Computing in Image Processing -- Special Session on New Hand-Based Biometric Methods -- Special Session on Recent Advances in Image Segmentation -- Special Session on Theories and Applications in Advanced Intelligent Computing -- Special Session on Search Based Software Engineering -- Special Session on Bio-inspired Computing and Applications -- Special Session on Advance in Dimensionality Reduction Methods and Its Applications -- Special Session on Protein and Gene Bioinformatics: Methods and Applications. |
| Record Nr. | UNISA-996466204103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues [[electronic resource] ] : Fourth International Conference on Intelligent Computing, ICIC 2008 Shanghai, China, September 15-18, 2008 Proceedings / / edited by De-Shuang Huang, Donald C. Wunsch, Daniel S. Levine, Kang-Hyun Jo
| Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues [[electronic resource] ] : Fourth International Conference on Intelligent Computing, ICIC 2008 Shanghai, China, September 15-18, 2008 Proceedings / / edited by De-Shuang Huang, Donald C. Wunsch, Daniel S. Levine, Kang-Hyun Jo |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
| Descrizione fisica | 1 online resource (XXVII, 1273 p.) |
| Disciplina | 006.301 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer programming
Application software Pattern recognition systems Computer science Algorithms Artificial intelligence Programming Techniques Computer and Information Systems Applications Automated Pattern Recognition Theory of Computation Artificial Intelligence |
| ISBN | 3-540-87442-9 |
| Classificazione |
54.72
DAT 500f DAT 700f SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Biological and Quantum Computing -- Intelligent Computing in Bioinformatics -- Computational Genomics and Proteomics -- Intelligent Computing in Signal Processing -- Intelligent Computing in Pattern Recognition -- Intelligent Computing in Communication -- Intelligent Agent and Web Applications -- Intelligent Fault Diagnosis -- Intelligent Control and Automation -- Intelligent Data Fusion and Security -- Intelligent Prediction and Time Series Analysis -- Natural Language Processing and Expert Systems -- Intelligent Image/Document Retrievals -- Network-Based Intelligence and Automation -- Intelligent Robot Systems Based on Vision Technology -- Computational Intelligence for Image Analysis. |
| Record Nr. | UNISA-996465522903316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues : Fourth International Conference on Intelligent Computing, ICIC 2008 Shanghai, China, September 15-18, 2008 Proceedings / / edited by De-Shuang Huang, Donald C. Wunsch, Daniel S. Levine, Kang-Hyun Jo
| Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues : Fourth International Conference on Intelligent Computing, ICIC 2008 Shanghai, China, September 15-18, 2008 Proceedings / / edited by De-Shuang Huang, Donald C. Wunsch, Daniel S. Levine, Kang-Hyun Jo |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
| Descrizione fisica | 1 online resource (XXVII, 1273 p.) |
| Disciplina | 006.301 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer programming
Application software Pattern recognition systems Computer science Algorithms Artificial intelligence Programming Techniques Computer and Information Systems Applications Automated Pattern Recognition Theory of Computation Artificial Intelligence |
| ISBN | 3-540-87442-9 |
| Classificazione |
54.72
DAT 500f DAT 700f SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Biological and Quantum Computing -- Intelligent Computing in Bioinformatics -- Computational Genomics and Proteomics -- Intelligent Computing in Signal Processing -- Intelligent Computing in Pattern Recognition -- Intelligent Computing in Communication -- Intelligent Agent and Web Applications -- Intelligent Fault Diagnosis -- Intelligent Control and Automation -- Intelligent Data Fusion and Security -- Intelligent Prediction and Time Series Analysis -- Natural Language Processing and Expert Systems -- Intelligent Image/Document Retrievals -- Network-Based Intelligence and Automation -- Intelligent Robot Systems Based on Vision Technology -- Computational Intelligence for Image Analysis. |
| Record Nr. | UNINA-9910483797103321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Language Technologies for Digital Libraries [[electronic resource] ] : International Workshops on NLP4DL 2009, Viareggio, Italy, June 15, 2009 and AT4DL 2009, Trento, Italy, September 8, 2009 / / edited by Raffaella Bernardi, Frederique Segond, Ilya Zaihrayeu
| Advanced Language Technologies for Digital Libraries [[electronic resource] ] : International Workshops on NLP4DL 2009, Viareggio, Italy, June 15, 2009 and AT4DL 2009, Trento, Italy, September 8, 2009 / / edited by Raffaella Bernardi, Frederique Segond, Ilya Zaihrayeu |
| Edizione | [1st ed. 2011.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
| Descrizione fisica | 1 online resource (XI, 171 p. 53 illus., 32 illus. in color.) |
| Disciplina | 025.04 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Information storage and retrieval systems
Database management Application software Artificial intelligence Machine theory Information Storage and Retrieval Database Management Computer and Information Systems Applications Artificial Intelligence Formal Languages and Automata Theory |
| ISBN | 3-642-23160-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996465714903316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Parallel Processing Technologies [[electronic resource] ] : 9th International Symposium, APPT 2011, Shanghai, China, September 26-27, 2011, Proceedings / / edited by Olivier Temam, Pen-chung Yew, Binyu Zang
| Advanced Parallel Processing Technologies [[electronic resource] ] : 9th International Symposium, APPT 2011, Shanghai, China, September 26-27, 2011, Proceedings / / edited by Olivier Temam, Pen-chung Yew, Binyu Zang |
| Edizione | [1st ed. 2011.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
| Descrizione fisica | 1 online resource (190 p. 89 illus.) |
| Disciplina | 005.74 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Database management
Data mining Application software Operating systems (Computers) Computer programming Information storage and retrieval systems Database Management Data Mining and Knowledge Discovery Computer and Information Systems Applications Operating Systems Programming Techniques Information Storage and Retrieval |
| ISBN | 3-642-24151-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466241903316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Soggetto topico
- Application software (2194)
-
Computer and Information Systems Applications
(2194)
- Computer networks (1137)
- Artificial Intelligence (1010)
- Artificial intelligence (1010)