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 125 of 364 papers

TitleStatusHype
U^2-Net: Going Deeper with Nested U-Structure for Salient Object DetectionCode3
SUM: Saliency Unification through Mamba for Visual Attention ModelingCode2
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene UnderstandingCode2
A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object DetectionCode2
Self-Supervised Transformers for Unsupervised Object Discovery using Normalized CutCode2
Unlocking Comics: The AI4VA Dataset for Visual UnderstandingCode1
AIM 2024 Challenge on Video Saliency Prediction: Methods and ResultsCode1
Learning Adaptive Fusion Bank for Multi-modal Salient Object DetectionCode1
Finding Visual Saliency in Continuous Spike StreamCode1
SAMF: Small-Area-Aware Multi-focus Image Fusion for Object DetectionCode1
Joint Correcting and Refinement for Balanced Low-Light Image EnhancementCode1
NPF-200: A Multi-Modal Eye Fixation Dataset and Method for Non-Photorealistic VideosCode1
Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image AttenuationCode1
TempSAL - Uncovering Temporal Information for Deep Saliency PredictionCode1
ScanDMM: A Deep Markov Model of Scanpath Prediction for 360deg ImagesCode1
Unsupervised Object Localization: Observing the Background to Discover ObjectsCode1
Temporal Saliency Detection Towards Explainable Transformer-based Timeseries ForecastingCode1
Panoramic Vision Transformer for Saliency Detection in 360° VideosCode1
A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid LabelsCode1
Robust RGB-D Fusion for Saliency DetectionCode1
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology ImagesCode1
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency DetectionCode1
Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency DetectionCode1
Pyramidal Attention for Saliency DetectionCode1
Pyramid Grafting Network for One-Stage High Resolution Saliency DetectionCode1
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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