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 8190 of 364 papers

TitleStatusHype
Context Proposals for Saliency Detection0
Context aware saliency map generation using semantic segmentation0
A Review of Co-saliency Detection Technique: Fundamentals, Applications, and Challenges0
Context-Aware Saliency Detection for Image Retargeting Using Convolutional Neural Networks0
A Reverse Hierarchy Model for Predicting Eye Fixations0
AGSENet: A Robust Road Ponding Detection Method for Proactive Traffic Safety0
Collaborative Temporal Consistency Learning for Point-supervised Natural Language Video Localization0
Coarse-to-Fine Salient Object Detection with Low-Rank Matrix Recovery0
An Unsupervised Game-Theoretic Approach to Saliency Detection0
CNN-based RGB-D Salient Object Detection: Learn, Select and Fuse0
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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