Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance

ArXi:2605.25385v1 Announce Type: cross Camouflaged object detection (COD) from a single image is a challenging task due to the high similarity between objects and their surroundings. Existing fully supervised methods require labor-intensive pixel-level annotations, making weakly supervised methods a viable compromise that balances accuracy and annotation efficiency. However, weakly supervised methods often experience performance degradation due to the use of coarse annotations. In this paper, we