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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
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency DetectionCode1
CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object DetectionCode1
Taking a Deeper Look at Co-Salient Object DetectionCode1
Co-Salient Object Detection with Co-Representation PurificationCode1
Group Collaborative Learning for Co-Salient Object DetectionCode1
Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object DetectionCode1
Advancing Referring Expression Segmentation Beyond Single ImageCode1
Self-supervised co-salient object detection via feature correspondence at multiple scalesCode0
DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency DetectionCode0
Global-and-Local Collaborative Learning for Co-Salient Object DetectionCode0
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