AI RESEARCH
Exploring Boundary-Aware Spatial-Frequency Fusion for Camouflaged Object Detection
arXiv CS.CV
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ArXi:2604.17879v1 Announce Type: new Camouflaged Object Detection is challenging due to the high degree of similarity between camouflaged objects and their surrounding backgrounds. Current COD methods mainly rely on edge extraction in the spatial domain and local pixel-level information, neglecting the importance of global structural features. Additionally, they fail to effectively leverage the importance of phase spectrum information within frequency domain features. To this end, we propose a COD framework BASFNet based on boundary-aware frequency domain and spatial domain fusion.