D³ETOR combines debate-enhanced pseudo labeling from SAM with frequency-aware progressive debiasing in FADeNet to achieve state-of-the-art weakly-supervised camouflaged object detection using scribbles.
Salient object detection in the deep learning era: An in-depth survey,
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DSS-USOD decomposes underwater image features into boundary-sensitive and region-coherent branches with a spatial coordination module and cooperative supervision for improved salient object detection under degradations.
citing papers explorer
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Debate-Enhanced Pseudo Labeling and Frequency-Aware Progressive Debiasing for Weakly-Supervised Camouflaged Object Detection with Scribble Annotations
D³ETOR combines debate-enhanced pseudo labeling from SAM with frequency-aware progressive debiasing in FADeNet to achieve state-of-the-art weakly-supervised camouflaged object detection using scribbles.
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Learning Dynamic Structural Specialization for Underwater Salient Object Detection
DSS-USOD decomposes underwater image features into boundary-sensitive and region-coherent branches with a spatial coordination module and cooperative supervision for improved salient object detection under degradations.