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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 181–190 of 364 papers

Title	Date	Tasks	Status	Hype
DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision	Dec 1, 2019	object-detectionObject Detection	—Unverified	0
Memory-oriented Decoder for Light Field Salient Object Detection	Dec 1, 2019	Decoderobject-detection	CodeCode Available	0
CAGNet: Content-Aware Guidance for Salient Object Detection	Nov 29, 2019	Objectobject-detection	CodeCode Available	1
Boosting Object Recognition in Point Clouds by Saliency Detection	Nov 6, 2019	Object RecognitionSaliency Detection	—Unverified	0
An End-to-End Network for Co-Saliency Detection in One Single Image	Oct 25, 2019	ClusteringCo-Salient Object Detection	—Unverified	0
Context-Aware Saliency Detection for Image Retargeting Using Convolutional Neural Networks	Oct 17, 2019	Image RetargetingSaliency Detection	—Unverified	0
Deep Learning for Light Field Saliency Detection	Oct 1, 2019	Deep LearningSaliency Detection	—Unverified	0
Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection	Oct 1, 2019	RGB-D Salient Object DetectionSaliency Detection	CodeCode Available	0
DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision	Sep 28, 2019	object-detectionObject Detection	—Unverified	0
Inducing Stronger Object Representations in Deep Visual Trackers	Sep 25, 2019	ObjectSaliency 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