Proceedings of the Korea Information Processing Society Conference (한국정보처리학회:학술대회논문집)

  • 2022.11a
  • /
  • Pages.455-455
  • /
  • 2022
  • /
  • 2005-0011(pISSN)
  • /
  • 2671-7298(eISSN)
Korea Information Processing Society (한국정보처리학회)
권호 표지
DOI QR코드

DOI QR Code

Cardiac Recognition and Abnormal Detection of Pet Heart Failure Using Dual-Stage YOLOv5

  • OH, Jun-Young (Department of Computer Science, Chungbuk National University) ;
  • Park, Tae-Hyun (Department of Computer Science, Chungbuk National University) ;
  • Lee, Euijong (Department of Computer Science, Chungbuk National University) ;
  • Jeong, Ji-Hoon (Department of Computer Science, Chungbuk National University)
  • Published : 2022.11.21
Download PDF
⟨ Previous Next ⟩

Abstract

Keywords

Acknowledgement

This work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No.2019-0-00231, Development of artificial intelligence based video security technology and systems for public infrastructure safety and the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2021R1G1A101097111).