File Download
There are no files associated with this item.
SFX Link
- Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
- Sim, Jae-Young
- Visual Information Processing Lab.
Views & Downloads
Detailed Information
Cited time in 
Cited time in 
Cited time in
Metadata Downloads
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.citation.conferencePlace | KO | - |
| dc.citation.title | 대한전자공학회 하계종합학술대회 | - |
| dc.contributor.author | 박은필 | - |
| dc.contributor.author | 심재영 | - |
| dc.date.accessioned | 2024-01-31T22:40:27Z | - |
| dc.date.available | 2024-01-31T22:40:27Z | - |
| dc.date.created | 2020-11-05 | - |
| dc.date.issued | 2020-08-20 | - |
| dc.identifier.bibliographicCitation | 대한전자공학회 하계종합학술대회 | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/78295 | - |
| dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE10448139 | - |
| dc.publisher | 대한전자공학회 | - |
| dc.title | 재귀적 깊은 신경망을 이용한 단일 영상 연무 제거 | - |
| dc.type | Conference Paper | - |
| dc.date.conferenceDate | 2020-08-19 | - |
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.