El. knyga: Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part IV

Machine Learning, Neural Network and Deep Learning.- Edge-Wise One-Level
Global Pruning on NAS generated networks.- Convolution Tells Where to Look.-
Robust Single-step Adversarial Training with Regularizer.- Texture-guided
U-Net for OCT-to-OCTA Generation.- Learning Key Actors and Their Interactions
for Group Activity Recognition.- Attributed Non-negative Matrix
Multi-Factorization for Data Representation.- Improved Categorical
Cross-Entropy Loss for Training Deep Neural Networks with Noisy Labels.- A
Residual Correction Approach for Semi-supervised Semantic Segmentation.-
Hypergraph Convolutional Network with Hybrid Higher-order Neighbors.-
Text-Aware Single Image Specular Highlight Removal.- Minimizing Wasserstein-1
Distance by Quantile Regression for GANs Model.- A Competition of Shape and
Texture Bias by Multi-View Image Representation.- Learning Indistinguishable
and Transferable Adversarial Examples.- Efficient Object Detection and
Classification of Ground Objects fromThermal Infrared Remote Sensing Image
Based on Deep Learning.- MEMA-NAS: Memory-Efficient Multi-Agent Neural
Architecture Search.- Adversarial Decoupling for Weakly Supervised Semantic
Segmentation.- Towards End-to-End Embroidery Style Generation: A Paired
Dataset and Benchmark.- Efficient and real-time particle detection via
encoder-decoder network.- Flexible Projection Search using Optimal
Re-weighted Adjacency for Unsupervised Manifold Learning .- Fabric Defect
Detection via Multi-scale Feature Fusion-based Saliency.- Improving
Adversarial Robustness of Detectors via Objectness Regularization.- IPE
Transformer for Depth Completion with Input-Aware Positional Embeddings.-
Enhanced Multi-view Matrix Factorization with Shared Representation.-
Multi-level Residual Attention Network for Speckle Suppression.- Suppressing
Style-Sensitive Features via Randomly Erasing for Domain Generalizable
Semantic Segmentation.- MAGAN: Multi-Attention Generative Adversarial
Networks for Text-to-Image Generation.- Dual Attention Based Network with
Hierarchical ConvLSTM for Video Object Segmentation.- Distance-based Class
Activation Map for Metric Learning.- Reading Pointer Meter through One Stage
End-to-End Deep Regression.- Deep Architecture Compression with Automatic
Clustering of Similar Neurons.- Attention Guided Spatio-temporal Artifacts
Extraction  for Deepfake Detection.- Learn the Approximation Distribution of
Sparse Coding with Mixture Sparsity Network.- Anti-occluded person
re-identification via pose restoration and dual channel feature distance
measurement.- Dynamic Runtime Feature Map Pruning.- Special Session: New
Advances in Visual Perception and Understanding.- Multi-Branch Graph Network
for Learning Human-Object Interaction.- FDEA: Face Dataset with Ethnicity
Attribute.- TMD-FS: Improving Few-Shot Object Detection with Transformer
Multi-modal Directing.- Feature Matching Network for Weakly-Supervised
Temporal Action Localization.- LiDAR-based symmetrical guidance for 3D Object
Detection.- Few-shot Segmentation via Complementary Prototype Learning and
Cascaded Refinement.- Couple Double-Stage FPNs with Single Pipe-line for
solar speckle images deblurring.- Multi-scale Image Partitioning and Saliency
Detection for Single Image Blind Deblurring.- CETransformer: Casual Effect
Estimation via Transformer Based Representation Learning.- An Efficient Polyp
Detection Framework with Suspicious Targets Assisted Training.- Invertible
Image Compressive Sensing.- Gradient-free Neural Network Training Based on
Deep Dictionary Learning with the Log Regularizer.