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Co-Salient Object Detection

Co-Salient Object Detection is a computational problem that aims at highlighting the common and salient foreground regions (or objects) in an image group. Please also refer to the online benchmark: http://dpfan.net/cosod3k/

( Image credit: Taking a Deeper Look at Co-Salient Object Detection, CVPR2020 )

Papers

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Showing 11–20 of 44 papers

TitleStatusHype
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object DetectionCode1
Visual Consensus Prompting for Co-Salient Object DetectionCode1
Group Collaborative Learning for Co-Salient Object DetectionCode1
Taking a Deeper Look at Co-Salient Object DetectionCode1
CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object DetectionCode1
Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object DetectionCode1
Advancing Referring Expression Segmentation Beyond Single ImageCode1
Co-salient Object Detection Based on Deep Saliency Networks and Seed Propagation over an Integrated Graph—0
Co-Saliency Detection with Co-Attention Fully Convolutional Network—0
Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing—0
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