LEADER 06899nam 22007695 450 001 9910983375703321 005 20250630101816.0 010 $a9789819784936 010 $a981978493X 024 7 $a10.1007/978-981-97-8493-6 035 $a(MiAaPQ)EBC31749165 035 $a(Au-PeEL)EBL31749165 035 $a(CKB)36479502400041 035 $a(DE-He213)978-981-97-8493-6 035 $a(EXLCZ)9936479502400041 100 $a20241101d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPattern Recognition and Computer Vision $e7th Chinese Conference, PRCV 2024, Urumqi, China, October 18?20, 2024, Proceedings, Part XIII /$fedited by Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (0 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15043 311 08$a9789819784929 311 08$a9819784921 320 $aIncludes bibliographical references and index. 327 $aScale-Adaptive Modulation Meet Compact Axial Transformer for Small Object Detection in UAV-Vision -- Lightweight and Multi-Scale Adaptive Network for Infrared Small Target Detection -- Multi-View Cross-Attention Network for Hyperspectral Object Tracking -- CountMamba: Exploring Multi-directional Selective State-Space Models for Plant Counting -- ECLNet: A Compact Encoder-Decoder Network for Efficient Camouflaged Object Detection -- Few-Shot Object Detection via Disentangling Class-Related Factors in Feature Distribution -- Multi-class token-guided end-to-end weakly supervised image semantic segmentation method -- Dynamic Subframe Splitting and Spatio-Temporal Motion Entangled Sparse Attention for RGB-E Tracking -- DIDNet: An End-to-End Directional Insulator Detection Network based on direction field -- L2FIG-Tracker: l2-norm based Fusion with Illumination Guidance for RGB-D Object TrackingCompleting Saliency from Details -- CDAF3D: Cross-Dimensional Attention Fusion for Indoor 3D Object Detection -- RETrack: Multi-Object Tracking by Associating Proposal Regions -- PGNET: A Real-time efficient model for underwater object detectionA Temporal Recognition Framework for Multi-Sheep Behaviour Using ViTSORT and YOLOv8-MS -- Tracking Transforming Objects: A Benchmark -- Modality-Shared Prototypes for Enhanced Unsupervised Visible-Infrared Person Re-identification -- Vehicle Re-identification with a Pose-aware Discriminative Part Learning Model -- Dual-Teacher Network with SSIM based Reverse Distillation for Anomaly DetectionCFMVOR: Federated Multi-view 3D Object Recognition Based on Compressed Learning -- Enhanced Anomaly Detection using Spatial-Alignment and Multi-scale Fusion -- Confidence-Weighted Teacher: Semi-Supervised Object Detection Based on Confidence Correction -- Shape-Aware Soft Label Assignment and Context Enhancement for Oriented Object Detection -- Chareption: Change-Aware Adaption Empowers Large Language Model for Effective Remote Sensing Image Change Captioning -- Spectral-Spatial Multi-view Sparse Self-Representation for Hyperspectral Band Selection -- Adaptive Cross-spatial Sensing Network for Change Detection -- HANet: Hierarchical Attention Network for Remote Sensing Images Semantic Segmentation -- BiReNet: Bilateral Network with Feature Fusion and Edge Detection for Remote Sensing Images Road Extraction -- Latent Feature Representation-Based Low Rank Subspace Clustering for Hyperspectral Band Selection -- DICMNet: Dynamic Irregular Resnet with Multi-direction Channel Remapping for Remote Sensing Road Extraction -- Discriminative Representation-based Classifier for Few-shot Remote Sensing Classification -- Hyperspectral Image Change Detection via Cross-Sample Slot Attention and Dual Gated Feed-Forward Network -- Hyperspectral Image Super-resolution Based on Dual-domain Gated Attention Network -- Spectral Channel-weighting CAT for Hyperspectral image ClassificationBFRNet: Bimodal Fusion and Rectification Network for Remote Sensing Semantic Segmentation -- SFFAFormer: An Semantic Fusion and Feature Accumulation Approach for Change Detection on Remote Sensing ImagesA Novel Multi-scale Feature Fusion based Network for Hyperspectral and Multispectral Image Fusion -- A Sidelobe-Aware Semi-Deformable Convolutional Ship Detection Network for Synthetic Aperture Radar Imagery -- Feature Exchange and Distribution-based Mining Land Detection Method by Multispectral Imagery. 330 $aThis 15-volume set LNCS 15031-15045 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2024, held in Urumqi, China, during October 18?20, 2024. The 579 full papers presented were carefully reviewed and selected from 1526 submissions. The papers cover various topics in the broad areas of pattern recognition and computer vision, including machine learning, pattern classification and cluster analysis, neural network and deep learning, low-level vision and image processing, object detection and recognition, 3D vision and reconstruction, action recognition, video analysis and understanding, document analysis and recognition, biometrics, medical image analysis, and various applications. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15043 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aArtificial intelligence 606 $aApplication software 606 $aComputer networks 606 $aComputer systems 606 $aMachine learning 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aArtificial Intelligence 606 $aComputer and Information Systems Applications 606 $aComputer Communication Networks 606 $aComputer System Implementation 606 $aMachine Learning 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aApplication software. 615 0$aComputer networks. 615 0$aComputer systems. 615 0$aMachine learning. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aArtificial Intelligence. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Communication Networks. 615 24$aComputer System Implementation. 615 24$aMachine Learning. 676 $a006.37 702 $aLin$b Zhouchen 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983375703321 996 $aPattern recognition and computer vision$91972598 997 $aUNINA