A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer.
Пожалуйста, войдите в систему, чтобы принять участие в дискуссии (добавить собственные рецензию, или комментарий)
Цитировать эту публикацию
%0 Journal Article
%1 journals/corr/abs-2106-01927
%A Chen, Ao
%A Li, Chen
%A Chen, Haoyuan
%A Yang, Hechen
%A Zhao, Peng
%A Hu, Weiming
%A Liu, Wanli
%A Zou, Shuojia
%A Grzegorzek, Marcin
%D 2021
%J CoRR
%K dblp
%T A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer.
%U http://dblp.uni-trier.de/db/journals/corr/corr2106.html#abs-2106-01927
%V abs/2106.01927
@article{journals/corr/abs-2106-01927,
added-at = {2023-02-13T00:00:00.000+0100},
author = {Chen, Ao and Li, Chen and Chen, Haoyuan and Yang, Hechen and Zhao, Peng and Hu, Weiming and Liu, Wanli and Zou, Shuojia and Grzegorzek, Marcin},
biburl = {https://www.bibsonomy.org/bibtex/24627186902537aa42de6cb0e1a100026/dblp},
ee = {https://arxiv.org/abs/2106.01927},
interhash = {ae239406a652c6bc612ab186825c044d},
intrahash = {4627186902537aa42de6cb0e1a100026},
journal = {CoRR},
keywords = {dblp},
timestamp = {2024-04-08T23:56:59.000+0200},
title = {A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer.},
url = {http://dblp.uni-trier.de/db/journals/corr/corr2106.html#abs-2106-01927},
volume = {abs/2106.01927},
year = 2021
}