Distilled-Road-SAM: A YOLO-Prompted Framework for High-Speed Pothole Segmentation

OCP-YOLO: Occlusion-Aware and Cross-Modal Progressive Fusion for UAV Small Object Detection

Dual-Aware Hypergraph Convolutional Network for Spatiotemporal Coupled Skeleton-Based Action Recognition

AFCA-Net: An Adaptive Frequency-Domain Calibration Architecture for Language-Guided Medical Image Segmentation

TMFF-Count: Text-Guided Multimodal Fusion Framework for Zero-Shot Object Counting

Zero-Shot Detection of Corner-Case Objects by VLMs in Traffic Scenarios

Energy-aware Low-rank Networks for Efficient Medical Image Segmentation

Debiased Semi-Supervised Classification for Medical Images with Extremely Limited Labels

EdgeFG-Net: Part-Aware Lightweight Architecture for Edge Fine-Grained Visual Classification

TriFor: A Reliability-Aware Tri-Branch Framework for Image Forgery Detection and Localization

ADSC: Adaptive Dynamic Fine-Tuning and Selective Cascade Inference for Resource-Efficient Multimodal Anomaly Detection

Few-Shot Anomaly Image Generation based on Dual-Interrelated Diffusion Model with Feature-Aligned

K2DTSNet: A Dual-Stage Graph Network with Neighborhood-Aware Channel Modulation for Grouped Face-Level 3D Tooth Semantic Segmentation

PRAM: Enhancing Adversarial Robustness of Lightweight CNNs with Parallel Rectification and Attention

A Hybrid Filtering Approach for Enhanced 3D Motion Tracking

Dynamic Confidence-Weighted Specialist-Generalist Collaborative Learning for Semi-Supervised 3D Medical Image Segmentation