47 citations · 48 across the 4 of their papers we have counts for
4 papers
TWLV-I: Analysis and Insights from Holistic Evaluation on Video Foundation Models
Hyeongmin Lee, Jin-Young Kim, Kyungjune Baek +18
In this work, we discuss evaluating video foundation models in a fair and robust manner. Unlike language or image foundation models, many video foundation models are evaluated with…
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…
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…
Structured Consistency Loss for semi-supervised semantic segmentation
Jongmok Kim, Jooyoung Jang, Hyunwoo Park +1
The consistency loss has played a key role in solving problems in recent studies on semi-supervised learning. Yet extant studies with the consistency loss are limited to its applic…