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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 141–150 of 364 papers

Title	Date	Tasks	Status	Hype
Fast and Accurate Light Field Saliency Detection through Deep Encoding	Oct 25, 2020	CPUSaliency Detection	—Unverified	0
Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection	Oct 12, 2020	object-detectionObject Detection	CodeCode Available	1
Light Field Salient Object Detection: A Review and Benchmark	Oct 10, 2020	BenchmarkingObject	CodeCode Available	1
Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction	Oct 2, 2020	Domain AdaptationSaliency Detection	CodeCode Available	1
Weakly-supervised Salient Instance Detection	Sep 29, 2020	Boundary DetectionObject Localization	—Unverified	0
Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection	Sep 19, 2020	Adversarial AttackCo-Salient Object Detection	CodeCode Available	1
Uncertainty Inspired RGB-D Saliency Detection	Sep 7, 2020	DecoderRGB-D Salient Object Detection	CodeCode Available	1
Label Decoupling Framework for Salient Object Detection	Aug 25, 2020	Objectobject-detection	CodeCode Available	1
Co-Saliency Detection with Co-Attention Fully Convolutional Network	Aug 20, 2020	Co-Salient Object DetectionSaliency Detection	—Unverified	0
Salient Instance Segmentation with Region and Box-level Annotations	Aug 19, 2020	Instance Segmentationobject-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