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 7180 of 364 papers

TitleStatusHype
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency DetectionCode1
Salient Object Detection via Bounding-box Supervision0
Saliency map using features derived from spiking neural networks of primate visual cortex0
Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency DetectionCode1
Unsupervised Motor Imagery Saliency Detection Based on Self-Attention Mechanism0
Pyramidal Attention for Saliency DetectionCode1
Pyramid Grafting Network for One-Stage High Resolution Saliency DetectionCode1
Fast Hybrid Image Retargeting0
Weakly-Supervised Salient Object Detection Using Point SupervisionCode1
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene UnderstandingCode2
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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