Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/awesome-davian/awesome-reviews-kaist
Computer vision paper reviews written by KAIST AI students
https://github.com/awesome-davian/awesome-reviews-kaist
List: awesome-reviews-kaist
Last synced: 3 months ago
JSON representation
Computer vision paper reviews written by KAIST AI students
- Host: GitHub
- URL: https://github.com/awesome-davian/awesome-reviews-kaist
- Owner: awesome-davian
- License: cc-by-sa-4.0
- Created: 2021-10-06T05:32:43.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2022-06-13T15:25:16.000Z (over 2 years ago)
- Last Synced: 2024-07-30T01:59:09.768Z (4 months ago)
- Homepage:
- Size: 382 MB
- Stars: 41
- Watchers: 3
- Forks: 118
- Open Issues: 68
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
- awesome-repositories - awesome-davian / awesome-reviews-kaist
README
[![License: CC BY-SA 4.0](https://img.shields.io/badge/License-CC%20BY--SA%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by-sa/4.0/)
# Awesome reviews by KAIST AI
2021년 가을학기부터, **한국과학기술원 AI604: 컴퓨터 비전을 위한 심층학습 기법** 수업의 수강생이 작성한 딥러닝 논문 리뷰를 공개합니다.
우리나라 딥러닝 학계 / 산업계 모두의 발전을 위해, 논문 리뷰는 주로 우리말로 작성될 예정이며, 특히 아직 한국어로 정리 / 작성된 리뷰가 없는 최신 논문에 우선순위를 두고자 합니다.
단순한 논문 정리를 넘어, 유익한 정보 및 노하우 / 코드 구현 기술 등을 널리 알리기 위해 다양한 형태의 자료를 제공할 것입니다.
더욱 더 정확한 내용을 전달하기 위해, 모든 글은 수강생 간의 동료 평가를 거칠 예정입니다.
모든 자료는 https://awesome-davian.gitbook.io/awesome-reviews 에서 확인할 수 있습니다.
From the fall semester of 2021, the reviews written by **KAIST AI604: Deep Learning for Computer Vision** class students will be available on the Internet.
The articles will be mainly written in the Korean language in order to contribute to the deep learning community of Korea.
Also, we will focus on the up-to-date papers, which are not reviewed or summarized in the Korean language yet.
We prepared several types of articles for high-quality content, and these will cover *a detailed explanation of the paper*, *know-how on research*, and *implementation of algorithm / modules with line-by-line descriptions*.
To deliver accurate information, all contents are peer-reviewed by the students.
All articles are available at https://awesome-davian.gitbook.io/awesome-reviews.
## Course information
이 프로젝트는 **한국과학기술원 AI604: 컴퓨터 비전을 위한 심층학습 기법** 수업의 강의자와 조교가 관리합니다.
The instructor and the teaching assistants of **KAIST AI604: Deep Learning for Computer Vision** class are in charge of this project.
### Instructor
**주재걸 (Jaegul Choo)** : Associate Professor, Kim Jaechul Graduate School of AI, KAIST ([webpage](https://sites.google.com/site/jaegulchoo/))
### Teaching assistant
**조영우 (Youngwoo Cho)** : Ph.D. student, Kim Jaechul Graduate School of AI, KAIST (contact)
**박정훈 (Jeonghoon Park)** : Ph.D. student, Kim Jaechul Graduate School of AI, KAIST (contact)
**박성현 (Sunghyun Park)** : Ph.D. student, Kim Jaechul Graduate School of AI, KAIST (contact)
**이상현 (Sanghyeon Lee)** : Ph.D. student, Kim Jaechul Graduate School of AI, KAIST (contact)
**박채훈 (Chaehoon Park)** : Ph.D. student, Kim Jaechul Graduate School of AI, KAIST (contact)
## License
이 프로젝트는 **크리에이티브 커먼즈 *저작자표시-동일조건변경허락 4.0 국제 라이선스***를 사용합니다.
See the [LICENSE](LICENSE.md) file for license rights and limitations (cc-by-sa-4.0).