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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–300 of 364 papers

TitleStatusHype
A multilayer backpropagation saliency detection algorithm and its applications—0
PDNet: Prior-model Guided Depth-enhanced Network for Salient Object DetectionCode0
Weakly Supervised Salient Object Detection Using Image Labels—0
Benchmark 3D eye-tracking dataset for visual saliency prediction on stereoscopic 3D video—0
Review of Visual Saliency Detection with Comprehensive Information—0
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey—0
Where's YOUR focus: Personalized Attention—0
Non-rigid Object Tracking via Deep Multi-scale Spatial-temporal Discriminative Saliency Maps—0
ViS-HuD: Using Visual Saliency to Improve Human Detection with Convolutional Neural Networks—0
Salient Object Detection by Lossless Feature Reflection—0
Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinementCode0
Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms—0
Deep saliency: What is learnt by a deep network about saliency?—0
Context aware saliency map generation using semantic segmentation—0
Multi-modal Face Pose Estimation with Multi-task Manifold Deep Learning—0
Variational Laws of Visual Attention for Dynamic ScenesCode0
A novel graph structure for salient object detection based on divergence background and compact foreground—0
An Iterative Co-Saliency Framework for RGBD Images—0
Robust Saliency Detection via Fusing Foreground and Background Priors—0
Co-saliency Detection for RGBD Images Based on Multi-constraint Feature Matching and Cross Label Propagation—0
Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion—0
Automatic Salient Object Detection for Panoramic Images Using Region Growing and Fixation Prediction Model—0
Personalized Saliency and its PredictionCode0
A Stagewise Refinement Model for Detecting Salient Objects in ImagesCode0
Can Image Retrieval help Visual Saliency Detection?—0
Top-Down Saliency Detection Driven by Visual Classification—0
PiCANet: Learning Pixel-wise Contextual Attention for Saliency DetectionCode0
Self-explanatory Deep Salient Object Detection—0
Deep Edge-Aware Saliency DetectionCode0
An Unsupervised Game-Theoretic Approach to Saliency Detection—0
Learning Uncertain Convolutional Features for Accurate Saliency DetectionCode0
Region-Based Multiscale Spatiotemporal Saliency for Video—0
Graph-Theoretic Spatiotemporal Context Modeling for Video Saliency Detection—0
Group-wise Deep Co-saliency Detection—0
Non-Local Deep Features for Salient Object DetectionCode0
Deep Level Sets for Salient Object Detection—0
Learning to Detect Salient Objects With Image-Level Supervision—0
Co-salient Object Detection Based on Deep Saliency Networks and Seed Propagation over an Integrated Graph—0
Saliency detection by aggregating complementary background template with optimization framework—0
Hierarchical Cellular Automata for Visual SaliencyCode0
Real Time Image Saliency for Black Box ClassifiersCode1
Object Discovery via Cohesion Measurement—0
Supervised Adversarial Networks for Image Saliency Detection—0
Towards Instance Segmentation with Object Priority: Prominent Object Detection and Recognition—0
Instance-Level Salient Object Segmentation—0
Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-paced Curriculum Learning—0
RGB-D Salient Object Detection Based on Discriminative Cross-modal Transfer Learning—0
Saliency Detection by Forward and Backward Cues in Deep-CNNsCode0
Supervised Saliency Map Driven Segmentation of the Lesions in Dermoscopic ImagesCode0
A Fast and Compact Saliency Score Regression Network Based on Fully Convolutional Network—0
Show:102550
← PrevPage 6 of 8Next →
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