CoADNet: Collaborative Aggregation-and-DistributionNetworks forCo-SalientObjectDetection

Inthis paper,wepresent anend-to-end collaborative aggregation-and-distribution network (CoADNet) to capture both salient and repetitive visual patterns from multiple images. First, we integrate saliencypriors intothebackbone features tosuppress theredundant background information through an online intra-saliency guidance structure. After that, we design a two-stage aggregate-and-distribute architecture to explore group-wise semantic interactions and produce theco-saliencyfeatures.