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 181–190 of 199 papers

TitleStatusHype
Scene Parsing with Integration of Parametric and Non-parametric Models—0
Deep Structured Scene Parsing by Learning with Image Descriptions—0
Geometric Scene Parsing with Hierarchical LSTM—0
Cutting Edge: Soft Correspondences in Multimodal Scene Parsing—0
Adaptive Exponential Smoothing for Online Filtering of Pixel Prediction Maps—0
Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering—0
Image Parsing with a Wide Range of Classes and Scene-Level Context—0
Discriminative Map Retrieval Using View-Dependent Map Descriptor—0
Deep Hierarchical Parsing for Semantic Segmentation—0
Large-scale Binary Quadratic Optimization Using Semidefinite Relaxation and Applications—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