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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 1–44 of 44 papers

TitleStatusHype
GCoNet+: A Stronger Group Collaborative Co-Salient Object DetectorCode4
Memory-aided Contrastive Consensus Learning for Co-salient Object DetectionCode4
A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object DetectionCode2
Zero-Shot Co-salient Object Detection FrameworkCode1
Advancing Referring Expression Segmentation Beyond Single ImageCode1
CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object DetectionCode1
Co-Salient Object Detection with Co-Representation PurificationCode1
Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object DetectionCode1
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object DetectionCode1
Gradient-Induced Co-Saliency DetectionCode1
Group Collaborative Learning for Co-Salient Object DetectionCode1
Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object DetectionCode1
Re-thinking Co-Salient Object DetectionCode1
Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionCode1
Taking a Deeper Look at Co-Salient Object DetectionCode1
Visual Consensus Prompting for Co-Salient Object DetectionCode1
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency DetectionCode1
Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking—0
CoSformer: Detecting Co-Salient Object with Transformers—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
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
Unsupervised and semi-supervised co-salient object detection via segmentation frequency statistics—0
Group-wise Deep Co-saliency Detection—0
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
DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency DetectionCode0
Towards Open-World Co-Salient Object Detection with Generative Uncertainty-aware Group Selective Exchange-MaskingCode0
Discriminative Consensus Mining with A Thousand Groups for More Accurate Co-Salient Object DetectionCode0
Global-and-Local Collaborative Learning for Co-Salient Object DetectionCode0
EGNet: Edge Guidance Network for Salient Object DetectionCode0
Self-supervised co-salient object detection via feature correspondence at multiple scalesCode0
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