no code implementations • 20 Feb 2023 • Moon Ye-Bin, Dongmin Choi, Yongjin Kwon, Junsik Kim, Tae-Hyun Oh
We address a weakly-supervised low-shot instance segmentation, an annotation-efficient training method to deal with novel classes effectively.
no code implementations • 28 Jun 2020 • Youngwan Lee, Joong-won Hwang, Hyung-Il Kim, Kimin Yun, Yongjin Kwon, Yuseok Bae, Sung Ju Hwang
To tackle these limitations, we propose a new localization uncertainty estimation method called UAD for anchor-free object detection.
Ranked #127 on Object Detection on COCO test-dev
no code implementations • ETRI Journal, Volume 39, Number 4, August, 2017 2017 • Jinyoung Moon, Junho Jin, Yongjin Kwon, Kyuchang Kang, Jongyoul Park, Kyoung Park
In addition, most studies have not considered extensibility for a newly added action that has been previously trained.
Ranked #1 on Action Recognition on ActionNet-VE
no code implementations • 2015 8th International Conference on Signal Processing, Image Processing and Pattern Recognition (SIP) 2015 • Jinyoung Moon, Yongjin Kwon, Kyuchang Kang, Jongyoul Park
This paper introduces a dataset for recognizing and describing interactive events between objects of interest including persons, cars, bikes, and carried objects.