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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
Object Segmentation Without Labels with Large-Scale Generative Models	Jun 8, 2020	image-classificationImage Classification	CodeCode Available	1
Interactive Two-Stream Decoder for Accurate and Fast Saliency Detection	Jun 1, 2020	DecoderSaliency Detection	CodeCode Available	1
Learning Selective Self-Mutual Attention for RGB-D Saliency Detection	Jun 1, 2020	DecoderRGB-D Salient Object Detection	CodeCode Available	1
A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection	Jun 1, 2020	object-detectionObject Detection	CodeCode Available	1
Select, Supplement and Focus for RGB-D Saliency Detection	Jun 1, 2020	RGB-D Salient Object DetectionSaliency Detection	CodeCode Available	1
Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification	May 21, 2020	ClassificationGeneral Classification	CodeCode Available	1
Reproduction of Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency Detection	May 5, 2020	ObjectSaliency Detection	CodeCode Available	1
Gradient-Induced Co-Saliency Detection	Apr 28, 2020	Co-Salient Object DetectionSaliency Detection	CodeCode Available	1
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders	Apr 13, 2020	RGB-D Salient Object DetectionSaliency Detection	CodeCode Available	1
DFNet: Discriminative feature extraction and integration network for salient object detection	Apr 3, 2020	object-detectionObject Detection	CodeCode Available	1

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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