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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 171–180 of 364 papers

Title	Date	Tasks	Status	Hype
Contrast-weighted Dictionary Learning Based Saliency Detection for Remote Sensing Images	Apr 6, 2020	Dictionary Learningobject-detection	—Unverified	0
DFNet: Discriminative feature extraction and integration network for salient object detection	Apr 3, 2020	object-detectionObject Detection	CodeCode Available	1
Evaluating Salient Object Detection in Natural Images with Multiple Objects having Multi-level Saliency	Mar 19, 2020	Objectobject-detection	CodeCode Available	0
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection	Mar 13, 2020	ClusteringCo-Salient Object Detection	CodeCode Available	1
Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve	Feb 24, 2020	QuantizationSaliency Detection	CodeCode Available	0
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space	Feb 10, 2020	Saliency Detection	CodeCode Available	1
An Analysis of Object Representations in Deep Visual Trackers	Jan 8, 2020	ObjectSaliency Detection	—Unverified	0
A General Framework for Saliency Detection Methods	Dec 27, 2019	Saliency Detection	—Unverified	0
cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks	Dec 21, 2019	Edge DetectionGenerative Adversarial Network	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