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 from Thermal 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.