SOTAVerified

Scene Parsing

Scene parsing is to segment and parse an image into different image regions associated with semantic categories, such as sky, road, person, and bed. MIT Description

Papers

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Showing 171–180 of 199 papers

TitleStatusHype
Open Vocabulary Scene Parsing—0
Guaranteed Parameter Estimation for Discrete Energy Minimization—0
Information Pursuit: A Bayesian Framework for Sequential Scene Parsing—0
Pyramid Scene Parsing NetworkCode1
Video Scene Parsing with Predictive Feature Learning—0
Improving Fully Convolution Network for Semantic Segmentation—0
Convolutional Neural Network Language ModelsCode0
Multi-Path Feedback Recurrent Neural Network for Scene Parsing—0
Semantic Understanding of Scenes through the ADE20K DatasetCode0
Learning Dynamic Hierarchical Models for Anytime Scene Labeling—0
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All datasetsPGDP5KCityscapes test

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PGDPNetTotal Accuracy84.7—Unverified
2Inter-GPSTotal Accuracy27.3—Unverified
#ModelMetricClaimedVerifiedStatus
1VCD No CoarsemIoU82.3—Unverified