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Saliency Detection

Saliency Detection is a preprocessing step in computer vision which aims at finding salient objects in an image.

Source: An Unsupervised Game-Theoretic Approach to Saliency Detection

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 21–30 of 364 papers

Title	Date	Tasks	Status	Hype	Score
A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels	Sep 7, 2022	object-detectionObject Detection	CodeCode Available	1	5
AIM 2024 Challenge on Video Saliency Prediction: Methods and Results	Sep 23, 2024	Saliency DetectionSaliency Prediction	CodeCode Available	1	5
CAGNet: Content-Aware Guidance for Salient Object Detection	Nov 29, 2019	Objectobject-detection	CodeCode Available	1	5
Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image Attenuation	Jun 23, 2023	DenoisingEdge Detection	CodeCode Available	1	5
Gradient-Induced Co-Saliency Detection	Apr 28, 2020	Co-Salient Object DetectionSaliency Detection	CodeCode Available	1	5
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images	Jul 14, 2022	Contrastive LearningSaliency Detection	CodeCode Available	1	5
Accurate RGB-D Salient Object Detection via Collaborative Learning	Jul 23, 2020	Objectobject-detection	CodeCode Available	1	5
Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion	Mar 22, 2021	object-detectionObject Detection	CodeCode Available	1	5
Deeply supervised salient object detection with short connections	Nov 15, 2016	Boundary DetectionObject	CodeCode Available	1	5
Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection	Aug 1, 2020	Saliency DetectionThermal Image Segmentation	CodeCode Available	1	5

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All datasets DUT-OMRON HKU-IS CAT2000 DUTS-test ECSSD PASCAL Context PASCAL-S

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	UCF	MAE	0.12	—	Unverified
2	U2-Net+	MAE	0.06	—	Unverified
3	U2-Net	MAE	0.05	—	Unverified
4	LDF(ours)	MAE	0.05	—	Unverified
5	Pyramid Feature Attention	MAE	0.04	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	U2-Net+	MAE	0.04	—	Unverified
2	Pyramid Feature Attention	MAE	0.03	—	Unverified
3	LDF(ours)	MAE	0.03	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SUM	AUC	0.89	—	Unverified
2	EYMOL	AUC	0.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Pyramid Feature Attention	MAE	0.04	—	Unverified
2	PFAN [zhao2019pyramid] (+) PRN	MAE	0.04	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Pyramid Feature Attention	MAE	0.03	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	InvPT	max_F1	84.81	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Pyramid Feature Attention	MAE	0.07	—	Unverified