1 code implementation • 26 Mar 2023 • Dina Bashkirova, Samarth Mishra, Diala Lteif, Piotr Teterwak, Donghyun Kim, Fadi Alladkani, James Akl, Berk Calli, Sarah Adel Bargal, Kate Saenko, Daehan Kim, Minseok Seo, YoungJin Jeon, Dong-Geol Choi, Shahaf Ettedgui, Raja Giryes, Shady Abu-Hussein, Binhui Xie, Shuang Li
To test the abilities of computer vision models on this task, we present the VisDA 2022 Challenge on Domain Adaptation for Industrial Waste Sorting.
no code implementations • 17 Mar 2023 • Daehan Kim, Minseok Seo, KwanYong Park, Inkyu Shin, Sanghyun Woo, In-So Kweon, Dong-Geol Choi
In specific, we achieve domain mixup in two-step: cut and paste.
1 code implementation • 26 Nov 2022 • Daehan Kim, Minseok Seo, YoungJin Jeon, Dong-Geol Choi
The Visual Domain Adaptation(VisDA) 2022 Challenge calls for an unsupervised domain adaptive model in semantic segmentation tasks for industrial waste sorting.
no code implementations • 30 Apr 2022 • Daehan Kim, Minseok Seo, Jinsun Park, Dong-Geol Choi
In this paper, we introduce source domain subset sampling (SDSS) as a new perspective of semi-supervised domain adaptation.
no code implementations • 19 Dec 2021 • Keunhyung Chung, Daehan Kim, Sangheon Lee, Guik Jung
Providing appropriate questions according to a student's knowledge level is imperative in personalized learning.
no code implementations • 6 Dec 2021 • Daehan Kim, Hyeonseong Choi, Guik Jung
Initial assessment tests are crucial in capturing learner knowledge states in a consistent manner.