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 91100 of 364 papers

TitleStatusHype
Cluster-Based Point Set Saliency0
A General Framework for Saliency Detection Methods0
Fast Hybrid Image Retargeting0
Characterness: An Indicator of Text in the Wild0
Can Image Retrieval help Visual Saliency Detection?0
A novel graph structure for salient object detection based on divergence background and compact foreground0
C^4Net: Contextual Compression and Complementary Combination Network for Salient Object Detection0
A novel attention model for salient structure detection in seismic volumes0
A Fast and Compact Saliency Score Regression Network Based on Fully Convolutional Network0
Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-paced Curriculum Learning0
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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