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 111120 of 364 papers

TitleStatusHype
An Iterative Co-Saliency Framework for RGBD Images0
DUT-LFSaliency: Versatile Dataset and Light Field-to-RGB Saliency Detection0
Extracting Human Attention through Crowdsourced Patch Labeling0
Face Sketch Synthesis via Semantic-Driven Generative Adversarial Network0
Fast and Accurate Light Field Saliency Detection through Deep Encoding0
Fast Hybrid Image Retargeting0
Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms0
Feature Hallucination for Self-supervised Action Recognition0
Breast Cancer Detection using Histopathological Images0
DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks0
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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