Conformer: Local Features Coupling Global Representations for Visual Recognition-Reference-Cited by-同舟云学术

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Conformer: Local Features Coupling Global Representations for Visual Recognition

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
Short-container-title:

Author:

Peng Zhiliang¹,Huang Wei¹,Gu Shanzhi²,Xie Lingxi³,Wang Yaowei²,Jiao Jianbin¹,Ye Qixiang¹

Affiliation:

1. University of Chinese Academy of Sciences,Beijing,China

2. Peng Cheng Laboratory,Shenzhen,China

3. Huawei Inc.

Funder

National Natural Science Foundation of China

Chinese Academy of Sciences

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09709973.pdf?arnumber=9709973

Reference58 articles.

1. Inception-v4, inception-resnet and the impact of residual connections on learning;szegedy,0

2. Bottle-neck transformers for visual recognition;srinivas,2021

3. Decoupled weight decay regularization;loshchilov,2017

4. Combining local and global image features for object class recognition;lisin;IEEE CVPRW,2008

5. Microsoft coco: Common objects in context;lin;ECCV,2014

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