001450946 000__ 07424cam\a2200529\i\4500 001450946 001__ 1450946 001450946 003__ OCoLC 001450946 005__ 20230310004551.0 001450946 006__ m\\\\\o\\d\\\\\\\\ 001450946 007__ cr\cn\nnnunnun 001450946 008__ 221104s2022\\\\sz\\\\\\o\\\\\101\0\eng\d 001450946 020__ $$a9783031189166$$q(electronic bk.) 001450946 020__ $$a3031189167$$q(electronic bk.) 001450946 020__ $$z9783031189159 001450946 020__ $$z3031189159 001450946 0247_ $$a10.1007/978-3-031-18916-6$$2doi 001450946 035__ $$aSP(OCoLC)1350247492 001450946 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dOCLCF$$dUKAHL 001450946 049__ $$aISEA 001450946 050_4 $$aTK7882.P3 001450946 08204 $$a006.4$$223/eng/20221104 001450946 1112_ $$aPRCV (Conference)$$n(5th :$$d2022 :$$cShenzhen Shi, China) 001450946 24510 $$aPattern recognition and computer vision :$$b5th Chinese Conference, PRCV 2022, Shenzhen, China, October 14-17, 2022, proceedings.$$nPart IV /$$cShiqi Yu [and seven others] (eds.). 001450946 264_1 $$aCham :$$bSpringer Nature Switzerland,$$c2022. 001450946 300__ $$a1 online resource (1 volume) 001450946 336__ $$atext$$btxt$$2rdacontent 001450946 337__ $$acomputer$$bc$$2rdamedia 001450946 338__ $$aonline resource$$bcr$$2rdacarrier 001450946 4901_ $$aLecture notes in computer science ;$$v13537 001450946 500__ $$aIncludes author index. 001450946 5050_ $$aImage Processing and Low-level Vision -- Video Deraining via Temporal Discrepancy Learning -- Multi-priors Guided Dehazing Network Based on Knowledge Distillation -- DLMP-Net: a dynamic yet lightweight multi-pyramid network for crowd density estimation -- CHENet: Image to Image Chinese Handwriting Eraser -- Identidication method for rice pests with small sample size problem combining deep learning and metric learning -- Boundary-Aware Polyp Segmentation Network -- SUDANet:A Siamese UNet with Dense Attention Mechanism for Remote Sensing Image Change Detection -- A Local-Global Self-attention Interaction Network for RGB-D Cross-modal Person Re-identification -- A RAW Burst Super-Resolution Method with Enhanced Denoising -- Unpaired and Self-supervised Optical Coherence Tomography Angiography Super-resolution -- Multi-Feature Fusion Network for Single Image Dehazing -- LAGAN: Landmark Aided Text to Face Sketch Generation -- DMF-CL: Dense Multi-scale Feature Contrastive Learning for Semantic segmentation of Remote-sensing images -- Image derain method for generative adversarial network based on wavelet high frequency feature fusion -- GPU-Accelerated Infrared Patch-Image Model for Small Target Detection -- Hyperspectral and Multispectral Image Fusion Based on Unsupervised Feature Mixing and Reconstruction Network -- Information Adversarial Disentanglement for Face Swapping -- A Dense Prediction ViT Network for Single Image Bokeh Rendering -- Multi-scale Coarse-to-fine Network for Demoiring -- Learning Contextual Embedding Deep Networks for Accurate and Efficient Image Deraining -- A Stage-Mutual-Ane Network for Single Remote Sensing Image Super-Resolution -- Style-based Attentive Network for Real-World Face Hallucination -- Cascade Scale-aware Distillation Network for Lightweight Remote Sensing Image Super-Resolution -- Few-Shot Segmentation via Rich Prototype Generation and Recurrent Prediction Enhancement -- Object Detection, Segmentation and Tracking -- TAFDet: A Task Awareness Focal Detector for Ship Detection in SAR Images -- MSDNet:Multi-scale Dense Networks for Salient Object Detection -- WaveSNet: Wavelet Integrated Deep Networks for Image Segmentation -- Infrared Object Detection Algorithm Based on Spatial Feature Enhancement -- Object Detection Based on Embedding Internal and External Knowledge -- ComLoss: A Novel Loss towards More Compact Predictions for Pedestrian Detection -- Remote sensing image detection based on attention mechanism and YOLOv5 -- Detection of Pin Defects in Transmission Lines Based on Dynamic Receptive Field -- Identification of bird s nest hazard level of transmission line based on improved yolov5 and location constraints -- Image Magnification Network for Vessel Segmentation in OCTA Images -- CFA-Net: Cross-level Feature Fusion and Aggregation Network for Salient Object Detection -- Disentangled Feature Learning for Semi-supervised Person Re-identification -- Detection Beyond What and Where: A Benchmark for Detecting Occlusion State -- Weakly Supervised Object Localization with Noisy-Label Learning -- Enhanced Spatial Awareness For Deep Interactive Image Segmentation -- Anchor-Free Location Refinement Network for Small License Plate Detection -- Multi-View LiDAR Guided Monocular 3D Object Detection -- Dual Attention-guided Network for Anchor-free Apple Instance Segmentation in Complex Environments -- Attention-Aware Feature Distillation for Object Detection in Decompressed Images -- Cross-Stage Class-Specific Attention for Image Semantic Segmentation -- Defect Detection for High Voltage Transmission Lines Based on Deep Learning -- ORION: Orientation-Sensitive Object Detection -- An Infrared Moving Small Object Detection Method Based on Trajectory Growth -- Two-stage Object Tracking Based on Similarity Measurement for Fused Features of Positive and Negative Samples -- PolyTracker: Progressive Contour Regression for Multiple Object Tracking and Segmentation -- Dual-branch Memory Network for Visual Object Tracking -- Instance-wise Contrastive Learning for Multi-Object Tracking -- Information Lossless Multi-Modal Image Generation for RGB-T Tracking -- JFT: A Robust Visual Tracker Based on Jitter Factor and Global Registration -- Caged Monkey Dataset: A New Benchmark for Caged Monkey Pose Estimation -- WTB-LLL: A Watercraft Tracking Benchmark Derived by Low-light-level Camera -- Dualray: Dual-view X-ray Security Inspection Benchmark and Fusion Detection Framework. 001450946 506__ $$aAccess limited to authorized users. 001450946 520__ $$aThe 4-volume set LNCS 13534, 13535, 13536 and 13537 constitutes the refereed proceedings of the 5th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2022, held in Shenzhen, China, in November 2022. The 233 full papers presented were carefully reviewed and selected from 564 submissions. The papers have been organized in the following topical sections: Theories and Feature Extraction; Machine learning, Multimedia and Multimodal; Optimization and Neural Network and Deep Learning; Biomedical Image Processing and Analysis; Pattern Classification and Clustering; 3D Computer Vision and Reconstruction, Robots and Autonomous Driving; Recognition, Remote Sensing; Vision Analysis and Understanding; Image Processing and Low-level Vision; Object Detection, Segmentation and Tracking. 001450946 588__ $$aDescription based on print version record. 001450946 650_0 $$aComputer vision$$vCongresses. 001450946 650_0 $$aPattern recognition systems$$vCongresses. 001450946 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001450946 655_0 $$aElectronic books. 001450946 7001_ $$aYu, Shiqi,$$eeditor.$$1https://isni.org/isni/0000000063670870 001450946 77608 $$iPrint version:$$aPRCV (Conference) (5th : 2022 : Shenzhen Shi, China), creator.$$tPattern recognition and computer vision : Part IV.$$dCham : Springer Nature Switzerland, 2022$$z9783031189159$$w(OCoLC)1346948437 001450946 830_0 $$aLecture notes in computer science ;$$v13537. 001450946 852__ $$bebk 001450946 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-18916-6$$zOnline Access$$91397441.1 001450946 909CO $$ooai:library.usi.edu:1450946$$pGLOBAL_SET 001450946 980__ $$aBIB 001450946 980__ $$aEBOOK 001450946 982__ $$aEbook 001450946 983__ $$aOnline 001450946 994__ $$a92$$bISE