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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 321–330 of 364 papers

Title	Date	Tasks	Status	Hype
Ro-SOS: Metric Expression Network (MEnet) for Robust Salient Object Segmentation	May 15, 2018	Saliency DetectionSemantic Segmentation	CodeCode Available	0
Memory-oriented Decoder for Light Field Salient Object Detection	Dec 1, 2019	Decoderobject-detection	CodeCode Available	0
Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection	Oct 1, 2019	RGB-D Salient Object DetectionSaliency Detection	CodeCode Available	0
Salient object detection on hyperspectral images using features learned from unsupervised segmentation task	Feb 28, 2019	ClusteringImage Segmentation	CodeCode Available	0
LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training	Aug 22, 2023	ObjectObject Discovery	CodeCode Available	0
PatchRefineNet: Improving Binary Segmentation by Incorporating Signals from Optimal Patch-wise Binarization	Nov 12, 2022	BinarizationFew-Shot Semantic Segmentation	CodeCode Available	0
3SD: Self-Supervised Saliency Detection With No Labels	Mar 9, 2022	ClassificationContrastive Learning	CodeCode Available	0
Light Field Saliency Detection with Deep Convolutional Networks	Jun 19, 2019	BenchmarkingSaliency Detection	CodeCode Available	0
A Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision	Jun 1, 2019	Contour DetectionEdge Detection	CodeCode Available	0
SaLite : A light-weight model for salient object detection	Dec 8, 2019	Anomaly DetectionDecoder	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