Description
Book SynopsisMedical Image Analysis
AGTCNet: Hybrid Network Based on AGT and Curvature Information for Skin Lesion Detection.- Among General Spine Segmentation with Multi-scale and Discriminate Feature Fusion.- SSCL: A Spatial-Spectral and Commonality Learning Network for Semi-Supervised Medical Image Segmentation.- A Multiscale Edge-Guided Polynomial Approximation Network for Medical Image Segmentation.- HIFNet: Medical Image Segmentation Network Utilizing Hierarchical Attention Feature Fusion.- Ynet: medical image segmentation model based on wavelet transform boundary enhancement.- An Effective Algorithm for Skin Disease Segmentation Combining inter-channel Features and Spatial Feature Enhancement.-
Detection and Recognition
A Comprehensive Framework for Fine-Grained Object Recognition in Remote Sensing.- Towards Reflected Object Detection: A Benchmark.- Consensus-aware Balance Learning for Sexually Suggestive Video Classification.- LightStar-Net: A Pseudo-Raw Space Enhancement for Efficient Low-Light Object Detection.- DASSF: Dynamic-Attention Scale-Sequence Fusion for Aerial Object Detection.-
Image Enhancement and Generation
Degradation-Aware Frequency-Separated Transformer for Blind Super-Resolution.- MAAU-UIE : Multiple Attention Aggregation U-Net for Underwater Image Enhancement.- MANet-CycleGAN: An Unsupervised LDCT Image Denoising Method Based on Channel Attention and Multi-Scale Features.- M3: Manipulation Mask Manufacturer for Arbitrary-Scale Super-Resolution Mask.- Agent-Conditioned Multi-Contrast MRI Super-Resolution for Cross-Subject.-
Vision Modeling in Complex Scenarios
SEA-Net: A Severity-Aware Network with Visual Prompt Tuning for Underwater Semantic Segmentation.- LAGNet: A Location-Aware Guidance Network for Weak and Strip Defect Detection.- Weighted Spatiotemporal Feature and Multi-task Learning for Masked Facial Expression Recognition.- MBGNet:Mamba-Based Boundary-Guided Multimodal Medical Image Segmentation Network.- MSD: A Mask-Guided and Semantic-Guided Diffusion-based Framework for Stone Surface Defect Detection.- A New Heterogeneous Mixture of Experts Model for Deepfake Detection.
