A Unified Two-Stage Group Semantics Propagation and Contrastive Learning Network for Co-Saliency Detection. (arXiv:2208.06615v1 [cs.CV])

Co-saliency detection (CoSOD) aims at discovering the repetitive salient
objects from multiple images. Two primary challenges are group semantics
extraction and noise object suppression. In this paper, we present a unified
Two-stage grOup semantics PropagatIon and Contrastive learning NETwork
(TopicNet) for CoSOD. TopicNet can be decomposed into two substructures,
including a two-stage group semantics propagation module (TGSP) to address the
first challenge and a contrastive learning module (CLM) to address the second
challenge. Concretely, for TGSP, we design an image-to-group …

arxiv cv detection learning network semantics stage