2 code implementations • 28 Mar 2024 • Dong-Hwan Jang, Sangdoo Yun, Dongyoon Han
This paper introduces an efficient fine-tuning method for large pre-trained models, offering strong in-distribution (ID) and out-of-distribution (OOD) performance.
no code implementations • CVPR 2022 • Dong-Hwan Jang, Sanghyeok Chu, Joonhyuk Kim, Bohyung Han
The size and shape of the receptive field determine how the network aggregates local information and affect the overall performance of a model considerably.