1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and Consistency
Jaeseung Lim, Jongkeun Na, Nojun Kwak
Active Learning (AL) and Semi-supervised Learning are two techniques that have been studied to reduce the high cost of deep learning by using a small amount of labeled data and a l…
cs.CV2022★ 1 cited
Pose-MUM : Reinforcing Key Points Relationship for Semi-Supervised Human Pose Estimation
JongMok Kim, Hwijun Lee, Jaeseung Lim +3
A well-designed strong-weak augmentation strategy and the stable teacher to generate reliable pseudo labels are essential in the teacher-student framework of semi-supervised learni…
cs.CV2021
MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection
JongMok Kim, Jooyoung Jang, Seunghyeon Seo +3
Many recent semi-supervised learning (SSL) studies build teacher-student architecture and train the student network by the generated supervisory signal from the teacher. Data augme…