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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 301–310 of 364 papers

Title	Date	Tasks	Status	Hype
A Unified RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and A Novel Approach	Jan 11, 2017	Saliency Detection	CodeCode Available	1
Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative Study	Jan 5, 2017	Image CroppingLearning-To-Rank	CodeCode Available	0
Multi-Scale Saliency Detection using Dictionary Learning	Nov 19, 2016	Dictionary LearningGeneral Classification	—Unverified	0
Deeply supervised salient object detection with short connections	Nov 15, 2016	Boundary DetectionObject	CodeCode Available	1
When Saliency Meets Sentiment: Understanding How Image Content Invokes Emotion and Sentiment	Nov 14, 2016	Saliency DetectionSentiment Analysis	—Unverified	0
A Deep Spatial Contextual Long-term Recurrent Convolutional Network for Saliency Detection	Oct 6, 2016	Saliency Detection	CodeCode Available	0
Visual Saliency Detection Based on Multiscale Deep CNN Features	Sep 7, 2016	Saliency Detection	CodeCode Available	0
Edge Preserving and Multi-Scale Contextual Neural Network for Salient Object Detection	Aug 29, 2016	Objectobject-detection	—Unverified	0
Saliency Detection via Combining Region-Level and Pixel-Level Predictions with CNNs	Aug 18, 2016	PredictionSaliency Detection	—Unverified	0
Deeply-Supervised Recurrent Convolutional Neural Network for Saliency Detection	Aug 18, 2016	Saliency DetectionSaliency Prediction	—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