Co-Salient Object Detection is a computational problem that aims at highlighting the common and salient foreground regions (or objects) in an image group. Please also refer to the online benchmark: http://dpfan.net/cosod3k/
( Image credit: Taking a Deeper Look at Co-Salient Object Detection, CVPR2020 )
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In the second step, we integrate the local edge information and global location information to obtain the salient edge features.
Ranked #2 on Camouflaged Object Segmentation on COD
Co-salient object detection (CoSOD) is a newly emerging and rapidly growing branch of salient object detection (SOD), which aims to detect the co-occurring salient objects in multiple images.
Ranked #1 on Co-Salient Object Detection on CoSOD3k