Papers with Code 아카이브

Co-Salient Object Detection

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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/

<span style="color:grey; opacity: 0.6">( Image credit: Taking a Deeper Look at Co-Salient Object Detection, CVPR2020 )</span>

논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

Visual Consensus Prompting for Co-Salient Object Detection

CONDA: Condensed Deep Association Learning for Co-Salient Object Detection

CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection

Self-supervised co-salient object detection via feature correspondence at multiple scales

Discriminative Consensus Mining with A Thousand Groups for More Accurate Co-Salient Object Detection

Unsupervised and semi-supervised co-salient object detection via segmentation frequency statistics

Towards Open-World Co-Salient Object Detection with Generative Uncertainty-aware Group Selective Exchange-Masking

Co-Salient Object Detection with Semantic-Level Consensus Extraction and Dispersion

Zero-Shot Co-salient Object Detection Framework

Advancing Referring Expression Segmentation Beyond Single Image

SegGPT Meets Co-Saliency Scene

Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection

Co-Salient Object Detection with Co-Representation Purification

Memory-aided Contrastive Consensus Learning for Co-salient Object Detection

Generalised Co-Salient Object Detection

GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector

Global-and-Local Collaborative Learning for Co-Salient Object Detection

Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection

A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection

Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection

CoSformer: Detecting Co-Salient Object with Transformers

Group Collaborative Learning for Co-Salient Object Detection

CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection

Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection

Co-Saliency Detection with Co-Attention Fully Convolutional Network

Re-thinking Co-Salient Object Detection

Gradient-Induced Co-Saliency Detection

Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection

An End-to-End Network for Co-Saliency Detection in One Single Image

HSCS: Hierarchical Sparsity Based Co-saliency Detection for RGBD Images

Review of Visual Saliency Detection with Comprehensive Information

An Iterative Co-Saliency Framework for RGBD Images

Co-saliency Detection for RGBD Images Based on Multi-constraint Feature Matching and Cross Label Propagation

Group-wise Deep Co-saliency Detection

Co-salient Object Detection Based on Deep Saliency Networks and Seed Propagation over an Integrated Graph

A Review of Co-saliency Detection Technique: Fundamentals, Applications, and Challenges

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