Lee, Dong Ho http://orcid.org/0000-0002-9045-2574
Ahn, Jaemyung http://orcid.org/0000-0003-4971-5130
Funding for this research was provided by:
National Research Foundation of Korea (2020R1A2C1005037)
Korea Advanced Institute of Science and Technology
Article History
Accepted: 26 February 2024
First Online: 27 March 2024
Declarations
:
: The authors have no competing interests to disclose.
: Our DDTM implementation and training methodology code based on the instance-augmentation baseline with maximum entropy is publicly available at .