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 2650 of 364 papers

TitleStatusHype
NPF-200: A Multi-Modal Eye Fixation Dataset and Method for Non-Photorealistic VideosCode1
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency DetectionCode1
Panoramic Vision Transformer for Saliency Detection in 360° VideosCode1
Temporal Saliency Detection Towards Explainable Transformer-based Timeseries ForecastingCode1
Pyramidal Attention for Saliency DetectionCode1
AIM 2024 Challenge on Video Saliency Prediction: Methods and ResultsCode1
ASOD60K: An Audio-Induced Salient Object Detection Dataset for Panoramic VideosCode1
Deeply supervised salient object detection with short connectionsCode1
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology ImagesCode1
Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency DetectionCode1
A Unified RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and A Novel ApproachCode1
Accurate RGB-D Salient Object Detection via Collaborative LearningCode1
DFNet: Discriminative feature extraction and integration network for salient object detectionCode1
A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object DetectionCode1
CAGNet: Content-Aware Guidance for Salient Object DetectionCode1
From Semantic Categories to Fixations: A Novel Weakly-Supervised Visual-Auditory Saliency Detection ApproachCode1
A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid LabelsCode1
Interactive Two-Stream Decoder for Accurate and Fast Saliency DetectionCode1
Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image AttenuationCode1
Object Segmentation Without Labels with Large-Scale Generative ModelsCode1
Joint Correcting and Refinement for Balanced Low-Light Image EnhancementCode1
Learning Selective Mutual Attention and Contrast for RGB-D Saliency DetectionCode1
Learning Selective Self-Mutual Attention for RGB-D Saliency DetectionCode1
Light Field Saliency Detection with Dual Local Graph Learning andReciprocative GuidanceCode1
Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal FusionCode1
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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