2024
Edge Attention Learning for Efficient Camouflaged Object Detection
ICASSP 2024accepted
Detecting camouflaged objects is expected to be a challenging task due to the hard-distinguihsed boundaries of targets. Although existing learning-based methods have concentrated on utilizing boundary information to enhance camouflaged object detection, the absence of boundary difficulty estimation…