Camouflaged object detection (COD) remains a significant challenge in computer vision. Existing approaches struggle to address both body immersion and structural ambiguity simultaneously, leading to inaccurate boundary delineations. This paper presents a novel Visual Sensing framework via Multiscale Edge-Aware Learning with Hybrid Attention. The proposed framework integrates hierarchical feature extraction, adaptive attention mechanisms, and progressive multi-scale fusion to achieve robust COD. We employ EfficientNetB7 as the backbone network to extract six-scale hierarchical features, capturing both fine-grained spatial details and high-level semantic representations. Initial shallow featur... More >