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 281290 of 364 papers

TitleStatusHype
Learning Uncertain Convolutional Features for Accurate Saliency DetectionCode0
Region-Based Multiscale Spatiotemporal Saliency for Video0
Graph-Theoretic Spatiotemporal Context Modeling for Video Saliency Detection0
Group-wise Deep Co-saliency Detection0
Non-Local Deep Features for Salient Object DetectionCode0
Deep Level Sets for Salient Object Detection0
Learning to Detect Salient Objects With Image-Level Supervision0
Co-salient Object Detection Based on Deep Saliency Networks and Seed Propagation over an Integrated Graph0
Saliency detection by aggregating complementary background template with optimization framework0
Hierarchical Cellular Automata for Visual SaliencyCode0
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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