Learning to Discriminate Information for Online Action Detection: Analysis and Application-Reference-Cited by-同舟云学术

Learning to Discriminate Information for Online Action Detection: Analysis and Application

Author:

Lee Sumin¹,Eun Hyunjun²,Moon Jinyoung³^ORCID,Choi Seokeon¹^ORCID,Kim Yoonhyung³^ORCID,Jung Chanho⁴^ORCID,Kim Changick¹^ORCID

Affiliation:

1. School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea

2. AI Service Division, SK Telecom, Seoul, Republic of Korea

3. Electronics and Telecommunications Research Institute (ETRI), Daejeon, Republic of Korea

4. Department of Electrical Engineering, Hanbat National University, Daejeon, Republic of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

Reference70 articles.

5. Thumos challenge: Action recognition with a large number of classes;jiang,2014

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