
Introducing a new CoSOD dataset, Co-Saliency of ImageNet (CoSINe), and a novel approach, Hierarchical Instance-aware COnsensus MinEr (HICOME), significantly improves performance in detecting co-salient objects.


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Analyzing Discriminative Consensus Mining for Co-Salient Object Detection


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Enhancing Co-Salient Object Detection Against Adversarial Attacks


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COSALPURE: Enhancing Co-Salient Object Detection Against Adversarial Attacks



This research paper introduces CONDA, a novel deep learning model for Co-Salient Object Detection (CoSOD) that leverages deep association learning and correspondence-induced association condensation to effectively capture inter-image relationships and improve the accuracy and efficiency of co-salient object detection.


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CONDA: Condensed Deep Association Learning for Co-Salient Object Detection (Research Paper)
