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 101–150 of 364 papers

TitleStatusHype
Saliency detection based on structural dissimilarity induced by image quality assessment modelCode0
EF-Net: A novel enhancement and fusion network for RGB-D saliency detectionCode0
Depth-Induced Multi-Scale Recurrent Attention Network for Saliency DetectionCode0
Saliency Detection by Forward and Backward Cues in Deep-CNNsCode0
Salient object detection on hyperspectral images using features learned from unsupervised segmentation taskCode0
Supervised Saliency Map Driven Segmentation of the Lesions in Dermoscopic ImagesCode0
Revisiting Saliency Metrics: Farthest-Neighbor Area Under CurveCode0
Deep Saliency with Encoded Low level Distance Map and High Level FeaturesCode0
Explainable Image Quality Assessment for Medical ImagingCode0
A Deep Learning Framework for Visual Attention Prediction and Analysis of News InterfacesCode0
SaLite : A light-weight model for salient object detectionCode0
A Mutual Learning Method for Salient Object Detection With Intertwined Multi-SupervisionCode0
Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative StudyCode0
PiCANet: Pixel-wise Contextual Attention Learning for Accurate Saliency DetectionCode0
Deep Edge-Aware Saliency DetectionCode0
DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency DetectionCode0
PDNet: Prior-model Guided Depth-enhanced Network for Salient Object DetectionCode0
ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object DetectionCode0
Multi-source weak supervision for saliency detectionCode0
Improving Landmark Recognition using Saliency detection and Feature classificationCode0
Non-Local Deep Features for Salient Object DetectionCode0
Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale FeaturesCode0
Memory-oriented Decoder for Light Field Salient Object DetectionCode0
Motion Guided Attention for Video Salient Object DetectionCode0
Personalized Saliency and its PredictionCode0
Light Field Saliency Detection with Deep Convolutional NetworksCode0
Learning Uncertain Convolutional Features for Accurate Saliency DetectionCode0
A Stagewise Refinement Model for Detecting Salient Objects in ImagesCode0
Learning to Promote Saliency DetectorsCode0
LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-trainingCode0
Joint Semantic Mining for Weakly Supervised RGB-D Salient Object DetectionCode0
Joint Learning of Saliency Detection and Weakly Supervised Semantic SegmentationCode0
Gravitational Laws of Focus of AttentionCode0
A Comprehensive Survey on Video Saliency Detection with Auditory Information: the Audio-visual Consistency Perceptual is the Key!Code0
Copy-Move Detection in Optical Microscopy: A Segmentation Network and A DatasetCode0
Inner and Inter Label Propagation: Salient Object Detection in the WildCode0
PiCANet: Learning Pixel-wise Contextual Attention for Saliency DetectionCode0
Hierarchical Cellular Automata for Visual SaliencyCode0
Geodesic-based Salient Object Detection—0
Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection—0
Context Proposals for Saliency Detection—0
Fristograms: Revealing and Exploiting Light Field Internals—0
Context aware saliency map generation using semantic segmentation—0
A Review of Co-saliency Detection Technique: Fundamentals, Applications, and Challenges—0
Free Lunch for Co-Saliency Detection: Context Adjustment—0
Flow Guided Recurrent Neural Encoder for Video Salient Object Detection—0
Context-Aware Saliency Detection for Image Retargeting Using Convolutional Neural Networks—0
A Reverse Hierarchy Model for Predicting Eye Fixations—0
AGSENet: A Robust Road Ponding Detection Method for Proactive Traffic Safety—0
Feature Hallucination for Self-supervised Action Recognition—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