English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Long-Tailed Recognition Using Class-Balanced Experts

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.

Item is

Basic

show hide
Genre: Conference Paper

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Sharma, Saurabh1, Author           
Yu, Ning1, Author           
Fritz, Mario2, Author           
Schiele, Bernt1, Author           
Affiliations:
1Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              
2External Organizations, ou_persistent22              

Content

show

Details

show
hide
Language(s): eng - English
 Dates: 202020212021
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Sharma_GCPR2020
DOI: 10.1007/978-3-030-71278-5_7
 Degree: -

Event

show
hide
Title: 42nd German Conference on Pattern Recognition
Place of Event: Tübingen, Germany
Start-/End Date: 2020-09-28 - 2020-10-01

Legal Case

show

Project information

show

Source 1

show
hide
Title: Pattern Recognition
  Abbreviation : GCPR 2020
  Other : DAGM GCPR 2020
  Subtitle : 42nd DAGM German Conference, DAGM GCPR 2020 ; Tübingen, Germany, September 28 - October 1, 2020 ; Proceedings
Source Genre: Proceedings
 Creator(s):
Akata, Zeynep1, Editor           
Geiger, Andreas1, Editor
Sattler, Torsten1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 86 - 100 Identifier: ISBN: 978-3-030-71277-8

Source 2

show
hide
Title: Lecture Notes in Computer Science
  Abbreviation : LNCS
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -