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

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Showing 226–250 of 364 papers

TitleStatusHype
Recurrent Attentional Networks for Saliency Detection—0
Region-Based Multiscale Spatiotemporal Saliency for Video—0
Breast Cancer Detection using Histopathological Images—0
Region Refinement Network for Salient Object Detection—0
Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models—0
Boosting Object Recognition in Point Clouds by Saliency Detection—0
Residual Spatial Fusion Network for RGB-Thermal Semantic Segmentation—0
Rethinking Lightweight Salient Object Detection via Network Depth-Width Tradeoff—0
Review of Visual Saliency Detection with Comprehensive Information—0
VISTA: A Visual and Textual Attention Dataset for Interpreting Multimodal Models—0
Bio-inspired visual attention for silicon retinas based on spiking neural networks applied to pattern classification—0
RGB-D Salient Object Detection Based on Discriminative Cross-modal Transfer Learning—0
RGBD Salient Object Detection via Deep Fusion—0
RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methods—0
Benchmark 3D eye-tracking dataset for visual saliency prediction on stereoscopic 3D video—0
A Weighted Sparse Coding Framework for Saliency Detection—0
Robust Saliency Detection via Fusing Foreground and Background Priors—0
Robust Saliency Detection via Regularized Random Walks Ranking—0
SalFAU-Net: Saliency Fusion Attention U-Net for Salient Object Detection—0
A Volumetric Saliency Guided Image Summarization for RGB-D Indoor Scene Classification—0
Arbitrary Handwriting Image Style Transfer—0
HDR image watermarking using saliency detection and quantization index modulation—0
Visual Saliency Based on Scale-Space Analysis in the Frequency Domain—0
Saliency detection by aggregating complementary background template with optimization framework—0
Visual saliency detection: a Kalman filter based approach—0
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All datasetsDUT-OMRONHKU-ISCAT2000DUTS-testECSSDPASCAL ContextPASCAL-S

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UCFMAE0.12—Unverified
2U2-Net+MAE0.06—Unverified
3U2-NetMAE0.05—Unverified
4LDF(ours)MAE0.05—Unverified
5Pyramid Feature AttentionMAE0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1U2-Net+MAE0.04—Unverified
2Pyramid Feature AttentionMAE0.03—Unverified
3LDF(ours)MAE0.03—Unverified
#ModelMetricClaimedVerifiedStatus
1SUMAUC0.89—Unverified
2EYMOLAUC0.83—Unverified
#ModelMetricClaimedVerifiedStatus
1Pyramid Feature AttentionMAE0.04—Unverified
2PFAN [zhao2019pyramid] (+) PRNMAE0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1Pyramid Feature AttentionMAE0.03—Unverified
#ModelMetricClaimedVerifiedStatus
1InvPTmax_F184.81—Unverified
#ModelMetricClaimedVerifiedStatus
1Pyramid Feature AttentionMAE0.07—Unverified