Decoupled Contrastive Learning for Long-Tailed Distribution.- MFNet: A Channel Segmentation-based Hierarchical Network for Multi-Food Recognition.- Improving the Adversarial Robustness of Object Detection with Contrastive Learning.- CAWNet: A Channel Attention Watermarking Attack Network Based on CWABlock.- Global Consistency Enhancement Network for Weakly-Supervised Semantic Segmentation.- Enhancing Model Robustness against Adversarial Attacks with an Anti-Adversarial Module.- FGPTQ-ViT:Fine-grained Post-training Quantization for Vision Transformers.- Learning Hierarchical Representations in Temporal and Frequency Domains for Time Series Forecasting.- DeCAB: Debiased Semi-Supervised Learning for Imbalanced Open-Set Data.- An Effective Visible-Infrared Person Re-identification Network based on Second-Order Attention and Mixed Intermediate Modality.- Quadratic polynomial residual network for no-reference image quality assessment.- Interactive Learning for Interpretable Visual Recognition via Semantic-Aware Self-Teaching Framework.-Adaptive and Compact Graph Convolutional Network for Micro-Expression Recognition.- Consistency Guided Multiview Hypergraph Embedding Learning with Multiatlas-Based Functional Connectivity Networks Using Resting-State fMRI.- A Diffusion Simulation User Behavior Perception Attention Network for Information Diffusion Prediction.- A Representation Learning Link Prediction Approach Using Line Graph Neural Networks.- Event Sparse Net: Sparse Dynamic Graph Multi-representation Learning with Temporal Attention for Event-based Data.- Federated Learning Based on Diffusion Model to Cope with non-IID Data
SFRSwin: A shallow significant feature retention Swin Transformer for fine-grained image classification of wildlife species.- A robust and high accurate method for hand kinematics decoding from neural populations.- Multi-head Attention Induced Dynamic Hypergraph Convolutional Networks.- Self Supervised Temporal Ultrasound Reconstruction for Muscle Atrophy Evaluation
Salient Object Detection Using Reciprocal Learning.- Graphormer-based Contextual Reasoning Network for Small Object Detection.- PVT-Crowd:Bridging Multi-scale Features from Pyramid Vision Transformer for Weakly-Supervised Crowd Counting.- Multi-view Contrastive Learning Network for Recommendation.- Uncertainty-confidence fused pseudo-labeling for Graph Neural Networks.- FSCD-Net: A Few-Shot Stego Cross-Domain Net for Image Steganalysis.- Preference Contrastive Learning for Personalized Recommendation.- GLViG: Global and Local Vision GNN May be What You Need for Vision.- SVDML: Semantic and Visual space Deep Mutual Learning for Zero-Shot Learning.- Heterogeneous Graph Attribute Completion via Efficient Meta-path Context-aware Learning.- Fine-Grain Classification Method of Non-Small Cell Lung Cancer Based on Progressive Jigsaw and Graph Convolutional Network.- Improving Transferability of Adversarial Attacks with Gaussian Gradient Enhance Momentum.- Boundary Guided Feature fusion Network for Camouflaged Object Detection.- Saliency Driven Monocular Depth Estimation based on Multi-scale Graph Convolutional Network.- Mask-guided Joint Single Image Specular Highlight Detection and Removal.- CATrack: Convolution and Attention Feature Fusion for Visual Object Tracking
SText-DETR: End-to-End Arbitrary-Shaped Text Detection with Scalable Query in Transformer.- SSHRF-GAN: Spatial-Spectral Joint High Receptive Field GAN for Old Photo Restoration