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Group-wise co-salient object detection via multi-view self-labeling novel class discovery

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摘要 1 Introduction Co-salient object detection(CoSOD)aims to extract the salient object(s)that are common across a group of relevant images[1].Group-wise clue plays a crucial role in accurately predicting the co-salient regions.Therefore,numerous groupwise deep models have been proposed by exploring consistency across images in unsupervised clustering manners[2-4]or the semantic connections guidance information[5].
出处 《Frontiers of Computer Science》 SCIE EI CSCD 2024年第2期259-261,共3页 中国计算机科学前沿(英文版)
基金 supported in part by the National Natural Science Foundation of China (Grant No.62276141).
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