Residual Modules Combined with Squeeze-and-Excitation Attention Mechanism for Improving Few-Shot Road Alert Detection Model

Tzu-Hao Kuo, Yu-Han Cheng, Chia-Ping Chen, Ping-Chun Chen, Chung-Li Lu, Bo-Cheng Chan, Hsiang-Feng Chuang, Wei-Yu Chen


Anthology ID:
2024.rocling-1.13
Volume:
Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024)
Month:
November
Year:
2024
Address:
Taipei City, Taiwan
Editors:
Shu-Chuan Tseng, Yu Tsao, Hen-Hsen Huang, Yao-Chung Fan, Chia-Hui Chang
Venue:
ROCLING
SIG:
Publisher:
The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Note:
Pages:
104–111
Language:
URL:
https://aclanthology.org/2024.rocling-1.13/
DOI:
Bibkey:
Cite (ACL):
Tzu-Hao Kuo, Yu-Han Cheng, Chia-Ping Chen, Ping-Chun Chen, Chung-Li Lu, Bo-Cheng Chan, Hsiang-Feng Chuang, and Wei-Yu Chen. 2024. Residual Modules Combined with Squeeze-and-Excitation Attention Mechanism for Improving Few-Shot Road Alert Detection Model. In Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024), pages 104–111, Taipei City, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
Cite (Informal):
Residual Modules Combined with Squeeze-and-Excitation Attention Mechanism for Improving Few-Shot Road Alert Detection Model (Kuo et al., ROCLING 2024)
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PDF:
https://aclanthology.org/2024.rocling-1.13.pdf