Knowledge Rectification for Camouflaged Object Detection: Unlocking Insights From Low-Resolution Data
Camouflaged object detection (COD) relies on multi-granularity structural information and fine-grained details to distinguish objects from highly similar backgrounds. Whereas low-resolution data lacks high-frequency cues such as textures and sharp edges, retaining only coarse structures. These not only weaken discrimin...