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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 271–280 of 364 papers

Title	Date	Tasks	Status	Hype
An Iterative Co-Saliency Framework for RGBD Images	Nov 4, 2017	Co-Salient Object DetectionSaliency Detection	—Unverified	0
Robust Saliency Detection via Fusing Foreground and Background Priors	Nov 1, 2017	object-detectionObject Detection	—Unverified	0
Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion	Oct 14, 2017	graph constructionSaliency Detection	—Unverified	0
Co-saliency Detection for RGBD Images Based on Multi-constraint Feature Matching and Cross Label Propagation	Oct 14, 2017	Co-Salient Object DetectionSaliency Detection	—Unverified	0
Automatic Salient Object Detection for Panoramic Images Using Region Growing and Fixation Prediction Model	Oct 10, 2017	Density Estimationobject-detection	—Unverified	0
Personalized Saliency and its Prediction	Oct 9, 2017	PredictionSaliency Detection	CodeCode Available	0
A Stagewise Refinement Model for Detecting Salient Objects in Images	Oct 1, 2017	object-detectionObject Detection	CodeCode Available	0
Can Image Retrieval help Visual Saliency Detection?	Sep 24, 2017	Image RetrievalRetrieval	—Unverified	0
Top-Down Saliency Detection Driven by Visual Classification	Sep 15, 2017	ClassificationGeneral Classification	—Unverified	0
PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection	Aug 21, 2017	RGB Salient Object DetectionSaliency Detection	CodeCode Available	0

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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