OAK

멀티헤드 어텐션 병렬화를 통한 트랜스포머 기반 객체추적 모델의 실행속도 향상

= Improving the Execution Speed of Transformer-based Object Tracking Models through Multi-head Attention Parallelization
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Type
Article
Author(s)
김명선
Department
AI응용학과
Creator
김인모
Citation Title
대한전자공학회논문지(전자공학회논문지)
Citation Volume
60
Citation Number
4
Citation Start Page
2023.4
Issued Date
2023-04
DOI
10.5573/ieie.2023.60.4.39
ISSN
2287-5026
EISSN
2288-159X
Publisher
대한전자공학회
Keyword
TransformerMulti-head attentionCSWinTTObject trackingMulti-threading
URI
http://dspace.hansung.ac.kr/handle/2024.oak/1074
Appears in Collections:
AI응용학과 > 1. Journal Articles
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