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 26–44 of 44 papers

TitleStatusHype
HSCS: Hierarchical Sparsity Based Co-saliency Detection for RGBD Images—0
Unsupervised CNN-based Co-Saliency Detection with Graphical Optimization—0
A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection—0
A Review of Co-saliency Detection Technique: Fundamentals, Applications, and Challenges—0
An End-to-End Network for Co-Saliency Detection in One Single Image—0
CONDA: Condensed Deep Association Learning for Co-Salient Object Detection—0
Co-saliency Detection for RGBD Images Based on Multi-constraint Feature Matching and Cross Label Propagation—0
Co-Saliency Detection via Looking Deep and Wide—0
Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing—0
Co-Saliency Detection with Co-Attention Fully Convolutional Network—0
Co-salient Object Detection Based on Deep Saliency Networks and Seed Propagation over an Integrated Graph—0
Co-Salient Object Detection with Semantic-Level Consensus Extraction and Dispersion—0
CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection—0
Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking—0
CoSformer: Detecting Co-Salient Object with Transformers—0
Review of Visual Saliency Detection with Comprehensive Information—0
SegGPT Meets Co-Saliency Scene—0
An Iterative Co-Saliency Framework for RGBD Images—0
Generalised Co-Salient Object Detection—0
Show:102550
← PrevPage 2 of 2Next →

No leaderboard results yet.