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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 61–70 of 364 papers

Title	Date	Tasks	Status	Hype
Towards Stable Co-saliency Detection and Object Co-segmentation	Sep 25, 2022	ObjectSaliency Detection	—Unverified	0
Panoramic Vision Transformer for Saliency Detection in 360° Videos	Sep 19, 2022	Saliency DetectionSaliency Prediction	CodeCode Available	1
A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels	Sep 7, 2022	object-detectionObject Detection	CodeCode Available	1
TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut	Sep 1, 2022	Object DiscoverySaliency Detection	—Unverified	0
A Unified Two-Stage Group Semantics Propagation and Contrastive Learning Network for Co-Saliency Detection	Aug 13, 2022	Contrastive LearningSaliency Detection	—Unverified	0
Robust RGB-D Fusion for Saliency Detection	Aug 2, 2022	Saliency Detection	CodeCode Available	1
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images	Jul 14, 2022	Contrastive LearningSaliency Detection	CodeCode Available	1
SiaTrans: Siamese Transformer Network for RGB-D Salient Object Detection with Depth Image Classification	Jul 9, 2022	image-classificationImage Classification	—Unverified	0
A Comprehensive Survey on Video Saliency Detection with Auditory Information: the Audio-visual Consistency Perceptual is the Key!	Jun 20, 2022	Saliency DetectionVideo Saliency Detection	CodeCode Available	0
Perceptual Quality Assessment of Virtual Reality Videos in the Wild	Jun 13, 2022	Saliency DetectionVideo Quality Assessment	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