Bi-CamoDiffusion: A Boundary-informed Diffusion Approach for Camouflaged Object Detection
Bi-CamoDiffusion enhances CamoDiffusion for camouflaged object detection by integrating RGB edge priors directly into early embeddings without changing the backbone. It uses a parameter-free injection and a multi-scale loss function to supervise boundary sharpness, resulting in significantly sharper contours and improved detection accuracy across various datasets.