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 191–199 of 199 papers

TitleStatusHype
Deep Deconvolutional Networks for Scene Parsing—0
Context Driven Scene Parsing with Attention to Rare Classes—0
Scene Parsing with Object Instances and Occlusion Ordering—0
Single-View 3D Scene Parsing by Attributed Grammar—0
Deep and Wide Multiscale Recursive Networks for Robust Image Labeling—0
Recurrent Convolutional Neural Networks for Scene Parsing—0
Scene Parsing by Integrating Function, Geometry and Appearance Models—0
Exemplar-Based Face Parsing—0
Nonparametric Scene Parsing with Adaptive Feature Relevance and Semantic Context—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