Semantic Segmentation on MIT ADE20K dataset

This is a PyTorch implementation of semantic segmentation models on MIT ADE20K scene parsing dataset (http://sceneparsing.csail.mit.edu/).

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Contributor(s)

Initial contribute: 2021-03-03

Authorship

:  
Massachusetts Institute of Technology, USA
:  
Massachusetts Institute of Technology, USA
:  
Massachusetts Institute of Technology, USA
:  
University of Toronto
:  
Massachusetts Institute of Technology, USA
Is authorship not correct? Feed back

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{{htmlJSON.Style}} SimpleCalculation
{{htmlJSON.Categories}} AI / Deep Learning
{{htmlJSON.Language}} EN_US
{{htmlJSON.Name}} SemanticSegmentationADE20K_predict
{{htmlJSON.Keywords}} SemanticSegmentationADE20K
{{htmlJSON.Abstract}} prediction of SemanticSegmentation on ADE20K dataset
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{{htmlJSON.HardwareConfigures}} Main Frequency 1.0
Memory Size 1024M
GPU Number 1

Task Example

发布模型 发布集成模型

{{htmlJSON.HowtoCite}}

Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, Antonio Torralba (2021). Semantic Segmentation on MIT ADE20K dataset, Computable Model, OpenGMS, https://geomodeling.njnu.edu.cn/computableModel/d4f818a6-9ae2-464c-970d-a6c7fe0b20c4
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Contributor(s)

Initial contribute : 2021-03-03

Authorship

:  
Massachusetts Institute of Technology, USA
:  
Massachusetts Institute of Technology, USA
:  
Massachusetts Institute of Technology, USA
:  
University of Toronto
:  
Massachusetts Institute of Technology, USA
Is authorship not correct? Feed back

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