Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research focused on Artificial intelligence and Weighting, with related work in Modal, Salient, Classifier (UML). Notable publications include 'MMBench: Is Your Multi-modal Model an All-Around Player?', 'VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning', and 'An Evidential Multi-Target Domain Adaptation Method Based on Weighted Fusion for Cross-Domain Pattern Classification'.
MMBench: Is Your Multi-modal Model an All-Around Player?
VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning
An Evidential Multi-Target Domain Adaptation Method Based on Weighted Fusion for Cross-Domain Pattern Classification
An evidential combination method with multi-color spaces for remote sensing image scene classification