Meta data
- BibTeX key
- conf/mm/WangLFS0L22
- entry type
- inproceedings
- booktitle
- ACM Multimedia
- year
- 2022
- pages
- 5093-5101
- publisher
- ACM
- crossref
- conf/mm/2022
- ee
- https://doi.org/10.1145/3503161.3547763
- isbn
- 978-1-4503-9203-7
- url
- http://dblp.uni-trier.de/db/conf/mm/mm2022.html#WangLFS0L22
Tags
Users
Comments and Reviewsshow / hide
Cite this publication
More citation styles
- please select -%0 Conference Paper
%1 conf/mm/WangLFS0L22
%A Wang, Dong
%A Liu, Yicheng
%A Fang, Liangji
%A Shang, Fanhua
%A Liu, Yuanyuan
%A Liu, Hongying
%B ACM Multimedia
%D 2022
%E Magalhães, João
%E Bimbo, Alberto Del
%E Satoh, Shin'ichi
%E Sebe, Nicu
%E Alameda-Pineda, Xavier
%E Jin, Qin
%E Oria, Vincent
%E Toni, Laura
%I ACM
%K dblp
%P 5093-5101
%T Balanced Gradient Penalty Improves Deep Long-Tailed Learning.
%U http://dblp.uni-trier.de/db/conf/mm/mm2022.html#WangLFS0L22
%@ 978-1-4503-9203-7
@inproceedings{conf/mm/WangLFS0L22,
added-at = {2024-07-30T00:00:00.000+0200},
author = {Wang, Dong and Liu, Yicheng and Fang, Liangji and Shang, Fanhua and Liu, Yuanyuan and Liu, Hongying},
biburl = {https://www.bibsonomy.org/bibtex/2ab2de346d979705655c118ff3a716b04/dblp},
booktitle = {ACM Multimedia},
crossref = {conf/mm/2022},
editor = {Magalhães, João and Bimbo, Alberto Del and Satoh, Shin'ichi and Sebe, Nicu and Alameda-Pineda, Xavier and Jin, Qin and Oria, Vincent and Toni, Laura},
ee = {https://doi.org/10.1145/3503161.3547763},
interhash = {d9ebf17e6d9ce43b5c9ee58f3edb30cf},
intrahash = {ab2de346d979705655c118ff3a716b04},
isbn = {978-1-4503-9203-7},
keywords = {dblp},
pages = {5093-5101},
publisher = {ACM},
timestamp = {2024-08-05T07:43:05.000+0200},
title = {Balanced Gradient Penalty Improves Deep Long-Tailed Learning.},
url = {http://dblp.uni-trier.de/db/conf/mm/mm2022.html#WangLFS0L22},
year = 2022
}