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 21–30 of 44 papers

TitleStatusHype
Discriminative Consensus Mining with A Thousand Groups for More Accurate Co-Salient Object DetectionCode0
Unsupervised and semi-supervised co-salient object detection via segmentation frequency statistics—0
Towards Open-World Co-Salient Object Detection with Generative Uncertainty-aware Group Selective Exchange-MaskingCode0
Co-Salient Object Detection with Semantic-Level Consensus Extraction and Dispersion—0
SegGPT Meets Co-Saliency Scene—0
Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking—0
Generalised Co-Salient Object Detection—0
Global-and-Local Collaborative Learning for Co-Salient Object DetectionCode0
CoSformer: Detecting Co-Salient Object with Transformers—0
Co-Saliency Detection with Co-Attention Fully Convolutional Network—0
Show:102550
← PrevPage 3 of 5Next →

No leaderboard results yet.