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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 21–30 of 44 papers

TitleStatusHype
Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionCode1
CoSformer: Detecting Co-Salient Object with Transformers—0
Group Collaborative Learning for Co-Salient Object DetectionCode1
CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object DetectionCode1
Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object DetectionCode1
Co-Saliency Detection with Co-Attention Fully Convolutional Network—0
Re-thinking Co-Salient Object DetectionCode1
Taking a Deeper Look at Co-Salient Object DetectionCode1
Gradient-Induced Co-Saliency DetectionCode1
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency DetectionCode1
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