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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 81–90 of 364 papers

Title	Date	Tasks	Status	Hype	Score
PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection	Aug 21, 2017	RGB Salient Object DetectionSaliency Detection	CodeCode Available	0	5
PiCANet: Pixel-wise Contextual Attention Learning for Accurate Saliency Detection	Dec 15, 2018	object-detectionObject Detection	CodeCode Available	0	5
A Plug-and-play Scheme to Adapt Image Saliency Deep Model for Video Data	Aug 2, 2020	Saliency DetectionVideo Saliency Detection	CodeCode Available	0	5
PDNet: Prior-model Guided Depth-enhanced Network for Salient Object Detection	Mar 23, 2018	object-detectionObject Detection	CodeCode Available	0	5
Personalized Saliency and its Prediction	Oct 9, 2017	PredictionSaliency Detection	CodeCode Available	0	5
Motion Guided Attention for Video Salient Object Detection	Sep 16, 2019	Objectobject-detection	CodeCode Available	0	5
Multi-source weak supervision for saliency detection	Apr 1, 2019	Caption GenerationSaliency Detection	CodeCode Available	0	5
3SD: Self-Supervised Saliency Detection With No Labels	Mar 9, 2022	ClassificationContrastive Learning	CodeCode Available	0	5
Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale Features	Feb 26, 2019	Object DiscoverySaliency Detection	CodeCode Available	0	5
Non-Local Deep Features for Salient Object Detection	Jul 1, 2017	Objectobject-detection	CodeCode Available	0	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