ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning.

Jaehoon Oh|Sungnyun Kim|Kartikay Khandelwal|Namgyu Ho|Sungnyun Kim|Kartikay Khandelwal|Jin-Hwa Kim|Hwanjun Song|Se-Young Yun


Anthology ID:DBLP:conf/cikm/OhKHKSY22
Volume:Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
Year:2022
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:4359-4363
URL:https://doi.org/10.1145/3511808.3557681
DOI:https://doi.org/10.1145/3511808.3557681
DBLP:conf/cikm/OhKHKSY22
BibTeX:
@inproceedings{oh-2022-refine, author = {Jaehoon Oh and Sungnyun Kim and Kartikay Khandelwal and Namgyu Ho and Sungnyun Kim and Kartikay Khandelwal and Jin-Hwa Kim and Hwanjun Song and Se-Young Yun}, editor = {Mohammad Al Hasan and Li Xiong}, title = {{ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning}}, booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}}, pages = {4359--4363}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3511808.3557681}, doi = {https://doi.org/10.1145/3511808.3557681} }