SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 11–20 of 44 papers

TitleStatusHype
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
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
CONDA: Condensed Deep Association Learning for Co-Salient Object Detection—0
CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection—0
Self-supervised co-salient object detection via feature correspondence at multiple scalesCode0
Show:102550
← PrevPage 2 of 5Next →

No leaderboard results yet.