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 121130 of 364 papers

TitleStatusHype
Flow Guided Recurrent Neural Encoder for Video Salient Object Detection0
Free Lunch for Co-Saliency Detection: Context Adjustment0
Fristograms: Revealing and Exploiting Light Field Internals0
Disentangle Saliency Detection into Cascaded Detail Modeling and Body Filling0
Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection0
Geodesic-based Salient Object Detection0
Adaptive Exponential Smoothing for Online Filtering of Pixel Prediction Maps0
Contrast-weighted Dictionary Learning Based Saliency Detection for Remote Sensing Images0
Boosting Object Recognition in Point Clouds by Saliency Detection0
A Bi-Directional Message Passing Model for Salient Object Detection0
Show:102550
← PrevPage 13 of 37Next →

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