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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 311–320 of 364 papers

Title	Date	Tasks	Status	Hype
Copy-Move Detection in Optical Microscopy: A Segmentation Network and A Dataset	Dec 13, 2024	object-detectionObject Detection	CodeCode Available	0
TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection	Aug 15, 2019	DecoderSaliency Detection	CodeCode Available	0
PDNet: Prior-model Guided Depth-enhanced Network for Salient Object Detection	Mar 23, 2018	object-detectionObject Detection	CodeCode Available	0
Non-Local Deep Features for Salient Object Detection	Jul 1, 2017	Objectobject-detection	CodeCode Available	0
Multi-source weak supervision for saliency detection	Apr 1, 2019	Caption GenerationSaliency Detection	CodeCode Available	0
Motion Guided Attention for Video Salient Object Detection	Sep 16, 2019	Objectobject-detection	CodeCode Available	0
Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale Features	Feb 26, 2019	Object DiscoverySaliency Detection	CodeCode Available	0
Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images	Jan 1, 2022	Depth Estimationobject-detection	CodeCode Available	0
Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative Study	Jan 5, 2017	Image CroppingLearning-To-Rank	CodeCode Available	0
A Stagewise Refinement Model for Detecting Salient Objects in Images	Oct 1, 2017	object-detectionObject Detection	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