Discriminative Consensus Mining with A Thousand Groups for More Accurate Co-Salient Object Detection

arXiv:2403.12057v1 Announce Type: new
Abstract: Co-Salient Object Detection (CoSOD) is a rapidly growing task, extended from Salient Object Detection (SOD) and Common Object Segmentation (Co-Segmentation). It is aimed at detecting the co-occurring salient object in the given image group. Many effective approaches have been proposed on the basis of existing datasets. However, there is still no standard and efficient training set in CoSOD, which makes it chaotic to choose training sets in the recently proposed CoSOD methods. First, the drawbacks …

abstract arxiv consensus cs.cv detection image mining object segmentation type