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 5175 of 364 papers

TitleStatusHype
Robust RGB-D Fusion for Saliency DetectionCode1
CAGNet: Content-Aware Guidance for Salient Object DetectionCode1
SAMF: Small-Area-Aware Multi-focus Image Fusion for Object DetectionCode1
Sanity Checks for Saliency MapsCode1
Densely Deformable Efficient Salient Object Detection NetworkCode1
Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal FusionCode1
Few-Cost Salient Object Detection with Adversarial-Paced LearningCode1
Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionCode1
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology ImagesCode1
Time-Series Anomaly Detection Service at MicrosoftCode1
Learning Selective Self-Mutual Attention for RGB-D Saliency DetectionCode1
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational AutoencodersCode1
Pyramid Feature Attention Network for Saliency detectionCode1
Deeply supervised salient object detection with short connectionsCode1
DFNet: Discriminative feature extraction and integration network for salient object detectionCode1
DS-Net: Dynamic Spatiotemporal Network for Video Salient Object DetectionCode1
ASOD60K: An Audio-Induced Salient Object Detection Dataset for Panoramic VideosCode1
Finding Visual Saliency in Continuous Spike StreamCode1
AIM 2024 Challenge on Video Saliency Prediction: Methods and ResultsCode1
Gradient-Induced Co-Saliency DetectionCode1
Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency DetectionCode1
JIT-Masker: Efficient Online Distillation for Background MattingCode1
A Unified RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and A Novel ApproachCode1
Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image AttenuationCode1
Unsupervised Object Localization: Observing the Background to Discover ObjectsCode1
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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