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 26–50 of 364 papers

TitleStatusHype
Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions—0
Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defects—0
A Saliency Enhanced Feature Fusion based multiscale RGB-D Salient Object Detection Network—0
A Volumetric Saliency Guided Image Summarization for RGB-D Indoor Scene Classification—0
SAMF: Small-Area-Aware Multi-focus Image Fusion for Object DetectionCode1
SASA: Saliency-Aware Self-Adaptive Snapshot Compressive ImagingCode0
HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping—0
An Integrated System for Spatio-Temporal Summarization of 360-degrees VideosCode0
Viewport Prediction for Volumetric Video Streaming by Exploring Video Saliency and Trajectory Information—0
All in One: RGB, RGB-D, and RGB-T Salient Object Detection—0
Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID—0
Towards End-to-End Unsupervised Saliency Detection with Self-Supervised Top-Down Context—0
Joint Correcting and Refinement for Balanced Low-Light Image EnhancementCode1
Global Context Aggregation Network for Lightweight Saliency Detection of Surface Defects—0
Multi-Modal Hybrid Learning and Sequential Training for RGB-T Saliency Detection—0
NPF-200: A Multi-Modal Eye Fixation Dataset and Method for Non-Photorealistic VideosCode1
LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-trainingCode0
Visual Saliency Detection in Advanced Driver Assistance Systems—0
Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image AttenuationCode1
Residual Spatial Fusion Network for RGB-Thermal Semantic Segmentation—0
Robust Saliency-Aware Distillation for Few-shot Fine-grained Visual Recognition—0
Explainable Image Quality Assessment for Medical ImagingCode0
Sketch2Saliency: Learning to Detect Salient Objects from Human Drawings—0
Spectrum-inspired Low-light Image Translation for Saliency Detection—0
Self-attention in Vision Transformers Performs Perceptual Grouping, Not Attention—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