A context-aware hybrid deep learning framework with graph representation learning for camouflaged object detection

Camouflaged object detection (COD) remains difficult because targets often blend with their surroundings in color, texture, pattern, and boundary. Although convolutional networks and transformers capture local and global features, existing methods may still lack relational understanding, causing inc