SOTAVerified

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

Showing 101125 of 364 papers

TitleStatusHype
Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB ImagesCode0
An Integrated System for Spatio-Temporal Summarization of 360-degrees VideosCode0
PiCANet: Learning Pixel-wise Contextual Attention for Saliency DetectionCode0
3SD: Self-Supervised Saliency Detection With No LabelsCode0
Salient object detection on hyperspectral images using features learned from unsupervised segmentation taskCode0
Depth-Induced Multi-Scale Recurrent Attention Network for Saliency DetectionCode0
Non-Local Deep Features for Salient Object DetectionCode0
Motion Guided Attention for Video Salient Object DetectionCode0
Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale FeaturesCode0
Deep Saliency with Encoded Low level Distance Map and High Level FeaturesCode0
A Deep Learning Framework for Visual Attention Prediction and Analysis of News InterfacesCode0
Ro-SOS: Metric Expression Network (MEnet) for Robust Salient Object SegmentationCode0
Multi-source weak supervision for saliency detectionCode0
LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-trainingCode0
A Mutual Learning Method for Salient Object Detection With Intertwined Multi-SupervisionCode0
Learning Uncertain Convolutional Features for Accurate Saliency DetectionCode0
Learning to Promote Saliency DetectorsCode0
Light Field Saliency Detection with Deep Convolutional NetworksCode0
Memory-oriented Decoder for Light Field Salient Object DetectionCode0
PDNet: Prior-model Guided Depth-enhanced Network for Salient Object DetectionCode0
Deep Edge-Aware Saliency DetectionCode0
DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency DetectionCode0
Joint Semantic Mining for Weakly Supervised RGB-D Salient Object DetectionCode0
Perceptual Quality Assessment of Virtual Reality Videos in the WildCode0
Joint Learning of Saliency Detection and Weakly Supervised Semantic SegmentationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UCFMAE0.12Unverified
2U2-Net+MAE0.06Unverified
3U2-NetMAE0.05Unverified
4LDF(ours)MAE0.05Unverified
5Pyramid Feature AttentionMAE0.04Unverified
#ModelMetricClaimedVerifiedStatus
1U2-Net+MAE0.04Unverified
2Pyramid Feature AttentionMAE0.03Unverified
3LDF(ours)MAE0.03Unverified
#ModelMetricClaimedVerifiedStatus
1SUMAUC0.89Unverified
2EYMOLAUC0.83Unverified
#ModelMetricClaimedVerifiedStatus
1Pyramid Feature AttentionMAE0.04Unverified
2PFAN [zhao2019pyramid] (+) PRNMAE0.04Unverified
#ModelMetricClaimedVerifiedStatus
1Pyramid Feature AttentionMAE0.03Unverified
#ModelMetricClaimedVerifiedStatus
1InvPTmax_F184.81Unverified
#ModelMetricClaimedVerifiedStatus
1Pyramid Feature AttentionMAE0.07Unverified