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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
Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion	Oct 14, 2017	graph constructionSaliency 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
Self-explanatory Deep Salient Object Detection	Aug 18, 2017	Objectobject-detection	—Unverified	0
Deep Edge-Aware Saliency Detection	Aug 15, 2017	DescriptiveSaliency Detection	CodeCode Available	0
An Unsupervised Game-Theoretic Approach to Saliency Detection	Aug 8, 2017	object-detectionObject Detection	—Unverified	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