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 201–225 of 364 papers

TitleStatusHype
Non-rigid Object Tracking via Deep Multi-scale Spatial-temporal Discriminative Saliency Maps—0
Context Proposals for Saliency Detection—0
Object Discovery via Cohesion Measurement—0
Context aware saliency map generation using semantic segmentation—0
On the Distribution of Salient Objects in Web Images and its Influence on Salient Object Detection—0
Orthogonal Decomposition Network for Pixel-Wise Binary Classification—0
Context-Aware Saliency Detection for Image Retargeting Using Convolutional Neural Networks—0
Collaborative Temporal Consistency Learning for Point-supervised Natural Language Video Localization—0
A Fast and Compact Saliency Score Regression Network Based on Fully Convolutional Network—0
Video Smoke Detection Based on Deep Saliency Network—0
When Saliency Meets Sentiment: Understanding How Image Content Invokes Emotion and Sentiment—0
Viewport Prediction for Volumetric Video Streaming by Exploring Video Saliency and Trajectory Information—0
PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Edge-Preserving Coherence—0
PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Spatial Priors—0
Point Cloud Quality Assessment using 3D Saliency Maps—0
Coarse-to-Fine Salient Object Detection with Low-Rank Matrix Recovery—0
CNN-based RGB-D Salient Object Detection: Learn, Select and Fuse—0
Cluster-Based Point Set Saliency—0
Characterness: An Indicator of Text in the Wild—0
Can Image Retrieval help Visual Saliency Detection?—0
Quality-Aware Multimodal Saliency Detection via Deep Reinforcement Learning—0
ViS-HuD: Using Visual Saliency to Improve Human Detection with Convolutional Neural Networks—0
Quantitative Analysis of Saliency Models—0
C^4Net: Contextual Compression and Complementary Combination Network for Salient Object Detection—0
Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-paced Curriculum Learning—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