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 211220 of 364 papers

TitleStatusHype
Saliency map using features derived from spiking neural networks of primate visual cortex0
Saliency Propagation From Simple to Difficult0
Salient Object Detection by Lossless Feature Reflection0
Salient Object Detection in Video using Deep Non-Local Neural Networks0
Salient Object Detection via Bootstrap Learning0
Salient Object Detection via Bounding-box Supervision0
Salient Object Detection with Lossless Feature Reflection and Weighted Structural Loss0
Self-attention in Vision Transformers Performs Perceptual Grouping, Not Attention0
Self-Attention Recurrent Network for Saliency Detection0
Self-explanatory Deep Salient Object Detection0
Show:102550
← PrevPage 22 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