El. knyga: Pattern Recognition and Computer Vision: 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, 2022, Proceedings, Part IV

Image 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
RemoteSensing Image Super-Resolution.- Few-Shot Segmentation via Rich
Prototype Generation and RecurrentPrediction 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 MovingSmall Object
Detection Method Based on Trajectory Growth.- Two-stage Object Tracking Based
on Similarity Measurement for FusedFeatures of Positive and Negative
Samples.- PolyTracker: Progressive Contour Regression for Multiple
ObjectTracking 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 FusionDetection Framework.