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 321330 of 364 papers

TitleStatusHype
Recurrent Attentional Networks for Saliency Detection0
Saliency Detection with Spaces of Background-based Distribution0
Saliency Detection for Improving Object Proposals0
Saliency Detection combining Multi-layer Integration algorithm with background prior and energy function0
A Deep Learning Based Fast Image Saliency Detection Algorithm0
Learning to Predict Saliency on Face Images0
Cluster-Based Point Set Saliency0
A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection0
Adaptive Exponential Smoothing for Online Filtering of Pixel Prediction Maps0
Exploiting Egocentric Object Prior for 3D Saliency Detection0
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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