English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Weakly-Supervised Domain Adaptive Semantic Segmentation With Prototypical Contrastive Learning

MPS-Authors
/persons/resource/persons261418

Das,  Anurag
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

/persons/resource/persons261420

Dai,  Dengxin
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

/persons/resource/persons45383

Schiele,  Bernt       
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Supplementary Material (public)
There is no public supplementary material available
Citation

Das, A., Xian, Y., Dai, D., & Schiele, B. (2023). Weakly-Supervised Domain Adaptive Semantic Segmentation With Prototypical Contrastive Learning. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 15434-15443). Piscataway, NJ: IEEE. doi:10.1109/CVPR52729.2023.01481.


Cite as: https://hdl.handle.net/21.11116/0000-000D-1F74-F
Abstract
There is no abstract available