IEEE

Learn From Examples: In-Context Learning for Camouflaged Object Detection

Abstract: Recently, new paradigms of camouflaged object detection (COD), such as referring COD (Ref-COD) and collaborative COD (Co-COD), have been proposed to enhance task performance. However, there ...
Frontiers

Deep Domain Adaptation Applied to Remote Sensing Data Analysis

Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...
GitHub

[ICCV2025] CleanPose: Category-Level Object Pose Estimation via Causal Learning and Knowledge Distillation

Official implementation of our CleanPose, the first solution to mitigate the confoundering effect in category-level pose estimation via causal learning and knowledge distillation. You can generate the ...
IEEE

Learning Compact Representations With an Information Bottleneck for Camouflaged Object Detection

Abstract: Frequency domain-based methods have demonstrated promising performance in Camouflaged Object Detection (COD) tasks because of their enhanced power for distinguishing between objects and the ...