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 3140 of 364 papers

TitleStatusHype
SASA: Saliency-Aware Self-Adaptive Snapshot Compressive ImagingCode0
HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping0
An Integrated System for Spatio-Temporal Summarization of 360-degrees VideosCode0
Viewport Prediction for Volumetric Video Streaming by Exploring Video Saliency and Trajectory Information0
All in One: RGB, RGB-D, and RGB-T Salient Object Detection0
Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID0
Towards End-to-End Unsupervised Saliency Detection with Self-Supervised Top-Down Context0
Joint Correcting and Refinement for Balanced Low-Light Image EnhancementCode1
Global Context Aggregation Network for Lightweight Saliency Detection of Surface Defects0
Multi-Modal Hybrid Learning and Sequential Training for RGB-T Saliency Detection0
Show:102550
← PrevPage 4 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