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 51100 of 364 papers

TitleStatusHype
Temporal Saliency Detection Towards Explainable Transformer-based Timeseries ForecastingCode1
CAGNet: Content-Aware Guidance for Salient Object DetectionCode1
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency DetectionCode1
Unsupervised Object Localization: Observing the Background to Discover ObjectsCode1
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency DetectionCode1
Pyramid Feature Attention Network for Saliency detectionCode1
Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic SegmentationCode1
Real Time Image Saliency for Black Box ClassifiersCode1
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology ImagesCode1
Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and ClassificationCode1
RGB-T Image Saliency Detection via Collaborative Graph LearningCode1
RGB-D Saliency Detection via Cascaded Mutual Information MinimizationCode1
Gradient-Induced Co-Saliency DetectionCode1
Accurate RGB-D Salient Object Detection via Collaborative LearningCode1
JIT-Masker: Efficient Online Distillation for Background MattingCode1
SAMF: Small-Area-Aware Multi-focus Image Fusion for Object DetectionCode1
ASOD60K: An Audio-Induced Salient Object Detection Dataset for Panoramic VideosCode1
Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object DetectionCode1
AIM 2024 Challenge on Video Saliency Prediction: Methods and ResultsCode1
Few-Cost Salient Object Detection with Adversarial-Paced LearningCode1
ScanDMM: A Deep Markov Model of Scanpath Prediction for 360deg ImagesCode1
Select, Supplement and Focus for RGB-D Saliency DetectionCode1
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
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational AutoencodersCode1
ICNet: Intra-saliency Correlation Network for Co-Saliency DetectionCode1
Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object DetectionCode1
TempSAL - Uncovering Temporal Information for Deep Saliency PredictionCode1
A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object DetectionCode1
Joint Correcting and Refinement for Balanced Low-Light Image EnhancementCode1
Revisiting Saliency Metrics: Farthest-Neighbor Area Under CurveCode0
Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative StudyCode0
A Plug-and-play Scheme to Adapt Image Saliency Deep Model for Video DataCode0
PiCANet: Pixel-wise Contextual Attention Learning for Accurate Saliency DetectionCode0
PiCANet: Learning Pixel-wise Contextual Attention for Saliency DetectionCode0
3SD: Self-Supervised Saliency Detection With No LabelsCode0
Personalized Saliency and its PredictionCode0
A Deep Spatial Contextual Long-term Recurrent Convolutional Network for Saliency DetectionCode0
Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB ImagesCode0
An Integrated System for Spatio-Temporal Summarization of 360-degrees VideosCode0
Multi-source weak supervision for saliency detectionCode0
PDNet: Prior-model Guided Depth-enhanced Network for Salient Object DetectionCode0
Saliency detection based on structural dissimilarity induced by image quality assessment modelCode0
Depth-Induced Multi-Scale Recurrent Attention Network for Saliency DetectionCode0
Memory-oriented Decoder for Light Field Salient Object DetectionCode0
LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-trainingCode0
Ro-SOS: Metric Expression Network (MEnet) for Robust Salient Object SegmentationCode0
Non-Local Deep Features for Salient Object DetectionCode0
Light Field Saliency Detection with Deep Convolutional NetworksCode0
Deep Saliency with Encoded Low level Distance Map and High Level FeaturesCode0
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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