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Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part II / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu



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Titolo: Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18–20, 2024, Proceedings, Part II / / edited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Edizione: 1st ed. 2025.
Descrizione fisica: 1 online resource (519 pages)
Disciplina: 006.37
Soggetto topico: Image processing - Digital techniques
Computer vision
Artificial intelligence
Application software
Computer networks
Computer systems
Machine learning
Computer Imaging, Vision, Pattern Recognition and Graphics
Artificial Intelligence
Computer and Information Systems Applications
Computer Communication Networks
Computer System Implementation
Machine Learning
Persona (resp. second.): LinZhouchen
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Auto-USOD: Searching Topology for Underwater Salient Object Detection -- MBA-NER: Multi-Granularity Entity Boundary-Aware Contrastive Enhanced for Two-stage Few-Shot Named Entity Recognition -- Meta-Learning Based Knowledge Distillation for Domain Adaptive Nighttime Segmentation -- Enhancing Zero-Shot Anomaly Detection: CLIP-SAM Collaboration with Cascaded Prompts -- Towards Adversarial-Robust Class-Incremental Learning via Progressively Volume-up Perturbation Generation -- Neighborhood Difference-Enhanced Graph Neural Network based on Hypergraph for Social Bot Detection -- SRMAE: Masked Image Modeling for Scale-Invariant Deep Representations -- An Entropy-based Pseudo-Label Mixup Method for Source-Free Domain Adaptation -- DAMS: Document Image Steganography with Dual Attention Multi-Scale Encoder-Decoder Architecture -- Dual-Task Cascaded for Proactive Deepfake Detection Using QPCET watermarking -- XrGroup: Graph Convolutional Networks for Group-Aware Pedestrian Trajectory Prediction with Speed information -- Generative Steganography Based on Dual-Branch Flow -- Invisible Backdoor Attack Through Singular Value Decomposition -- Self-supervised transformer-based pre-training method with General Plant Infection dataset -- Spatio-Temporal Perceiving Network Based Vision Transformer for 6-Hour Precipitation Prediction Using Multi-Meteorological Factors -- Learning Local Spatial and Global Context Activation for Visual Recognition -- A Novel Method for Autism Identification based on Multi-Atlas Features Fusion and Graph Neural Network -- CRFNet: A medical image segmentation method using the cross attention mechanism and refined feature fusion strategy -- SCC-CAM: Weakly Supervised Segmentation on Brain Tumor MRI with Similarity Constraint and Causality -- Global Structural Consistency Set Transformer -- IMO-Net: Integrated Memory Optimization Network for Video Instance Lane Detection -- Lightweight Facial Expression Recognition Based on Hybrid Multiscale and Multi-Head Collaborative Attention -- Single model learns multiple styles of Chinese calligraphy via Style Collection Mechanism -- FusionNet for Interactive Image Segmentation -- Dynamic Spatial-Temporal Perception Graph Convolutional Networks for Traffic Flow Forecasting -- Foreign object classification for coal conveyor belts based on deep learning -- Reducing Memory Footprint in Deep Network Training by Gradient Space Reutilization -- Interpretable Unsupervised Homography Estimation -- DRC-NET: Density Reweighted Convolution Network for Edge Curve Extraction -- Unsupervised Underwater Image Enhancement Combining Imaging Restoration and Prompt Learning -- Generatice Adversarial Imitation Learning Algorithm based on Improved Curiosity Module -- Zero-shot Blind Face Restoration via Conditional Diffusion Sampling -- Task-aware Few-shot Image Generation via Dynamic Local Distribution Estimation and Sampling -- Adversarial Training and Contrastive Learning with Bidirectional Transformers for Sequence Recommendation -- Empathizing Before Generation: A Double-layered Framework for Emotional Support LLM.
Sommario/riassunto: This 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18–20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications.
Titolo autorizzato: Pattern recognition and computer vision  Visualizza cluster
ISBN: 9789819784905
9819784905
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910983334703321
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Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 15032