CCTSS: The Combination of CNN and Transformer with Shared Sublayer for Detection and Classification-Reference-Cited by-同舟云学术

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CCTSS: The Combination of CNN and Transformer with Shared Sublayer for Detection and Classification

Published:2024-01-01 Issue:1 Volume:E107.A Page:141-156
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

GOU Aorui¹,LIU Jingjing¹,CHEN Xiaoxiang¹,ZENG Xiaoyang¹,FAN Yibo¹

Affiliation:

1. Academy for Engineering and Technology and the State Key Laboratory of ASIC and System, Fudan University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

https://www.jstage.jst.go.jp/article/transfun/E107.A/1/E107.A_2022EAP1157/_pdf

Reference69 articles.

1. [1] N. Carion, F. Massa, G. Synnaeve, N. Usunier, A. Kirillov, and S. Zagoruyko, “End-to-end object detection with transformers,” European Conference on Computer Vision, pp.213-229, Springer, 2020. 10.1007/978-3-030-58452-8_13

2. [2] D. Chang, Y. Ding, J. Xie, A.K. Bhunia, X. Li, Z. Ma, M. Wu, J. Guo, and Y.-Z. Song, “The devil is in the channels: Mutual-channel loss for fine-grained image classification,” IEEE Trans. Image Process., vol.29, pp.4683-4695, 2020. 10.1109/tip.2020.2973812

3. [3] Y. Chen, Y. Bai, W. Zhang, and T. Mei, “Destruction and construction learning for fine-grained image recognition,” Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.5157-5166, 2019. 10.1109/cvpr.2019.00530

4. [4] Y. Chen, X. Dai, D. Chen, M. Liu, X. Dong, L. Yuan, and Z. Liu, “Mobile-former: Bridging mobilenet and transformer,” arXiv preprint arXiv:2108.05895, 2021. 10.48550/arXiv.2108.05895

5. [5] F. Chollet, “Xception: Deep learning with depthwise separable convolutions,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp.1251-1258, 2017. 10.1109/cvpr.2017.195

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