SegGPT Meets Co-Saliency Scene
Yi Liu Shoukun Xu Dingwen Zhang Jungong Han
Co-salient object detection targets at detecting co-existed salient objects
among a group of images. Recently, a generalist model for segmenting everything
in context, called SegGPT, is gaining public attention. In view of its
breakthrough for segmentation, we can hardly wait to probe into its
contribution to the task of co-salient object detection. In this report, we
first design a framework to enable SegGPT for the problem of co-salient object
detection. Proceed to the next step, we evaluate the performance of SegGPT on
the problem of co-salient object detection on three available datasets. We
achieve a finding that co-saliency scenes challenges SegGPT due to context
discrepancy within a group of co-saliency images.