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 inter cue


ICNet: Intra-saliencyCorrelationNetworkfor Co-SaliencyDetection

Neural Information Processing Systems

Specifically, we adopt normalized masked average pooling (NMAP) to extract latent intra-saliency categories from the SISMs and semantic features as intra cues. Then we employ a correlation fusion module (CFM) to obtain inter cues by exploiting correlations between the intra cues and single-image features. To improve Co-SOD performance, we propose a category-independent rearranged self-correlation feature(RSCF)strategy.