AI RESEARCH
Modality-Specific Hierarchical Enhancement for RGB-D Camouflaged Object Detection
arXiv CS.CV
•
ArXi:2604.02935v1 Announce Type: new Camouflaged object detection (COD) is challenging due to high target-background similarity, and recent methods address this by complementarily using RGB-D texture and geometry cues. However, RGB-D COD methods still underutilize modality-specific cues, which limits fusion quality. We believe this is because RGB and depth features are fused directly after backbone extraction without modality-specific enhancement.