English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Long-Tailed Recognition Using Class-Balanced Experts

MPS-Authors
/persons/resource/persons225351

Sharma,  Saurabh
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

/persons/resource/persons225792

Yu,  Ning
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.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Sharma, S., Yu, N., Fritz, M., & Schiele, B. (2021). Long-Tailed Recognition Using Class-Balanced Experts. In Z. Akata, A. Geiger, & T. Sattler (Eds.), Pattern Recognition (pp. 86-100). Berlin: Springer. doi:10.1007/978-3-030-71278-5_7.


Cite as: https://hdl.handle.net/21.11116/0000-0007-80CE-0
Abstract
There is no abstract available