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  TransFG: A Transformer Architecture for Fine-Grained Recognition

He, J., Chen, J., Liu, S., Kortylewski, A., Yang, C., Bai, Y., et al. (2022). TransFG: A Transformer Architecture for Fine-Grained Recognition. In Proceedings of the 36th AAAI Conference on Artificial Intelligence (pp. 852-860). Palo Alto, CA: AAAI. doi:10.1609/aaai.v36i1.19967.

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Genre: Conference Paper
Latex : {TransFG}: {A} Transformer Architecture for Fine-Grained Recognition

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 Creators:
He, Ju1, Author
Chen, Jieneng1, Author
Liu, Shuai1, Author
Kortylewski, Adam2, Author                 
Yang, Cheng1, Author
Bai, Yutong1, Author
Wang, Changhu1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society, ou_3311330              

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Language(s): eng - English
 Dates: 2021-05-062022
 Publication Status: Published online
 Pages: 9 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: HeAAAI22
DOI: 10.1609/aaai.v36i1.19967
 Degree: -

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Title: 36th AAAI Conference on Artificial Intelligence
Place of Event: Virtual Conference
Start-/End Date: 2022-02-22 - 2022-03-01

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Title: Proceedings of the 36th AAAI Conference on Artificial Intelligence
  Abbreviation : AAAI 2022
  Subtitle : AAAI-22 Technical Tracks 1
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Palo Alto, CA : AAAI
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 852 - 860 Identifier: ISBN: 978-1-57735-876-3