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 311320 of 364 papers

TitleStatusHype
RGBD Salient Object Detection via Deep Fusion0
Exemplar-Driven Top-Down Saliency Detection via Deep Association0
Saliency Guided Dictionary Learning for Weakly-Supervised Image Parsing0
GraB: Visual Saliency via Novel Graph Model and Background Priors0
Quantitative Analysis of Saliency Models0
Visual Saliency Based on Scale-Space Analysis in the Frequency Domain0
WEPSAM: Weakly Pre-Learnt Saliency Model0
A Review of Co-saliency Detection Technique: Fundamentals, Applications, and Challenges0
Deep Saliency with Encoded Low level Distance Map and High Level FeaturesCode0
Visual saliency detection: a Kalman filter based approach0
Show:102550
← PrevPage 32 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