MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models

This is the official implementation of MELTR (CVPR 2023). (arxiv)

Dohwan Ko^1*, Joonmyung Choi^1*, Hyeong Kyu Choi¹, Kyoung-Woon On², Byungseok Roh², Hyunwoo J. Kim¹.

¹Korea University ²Kakao Brain

Code Repositories

• UniVL + MELTR

• Violet + MELTR

• All-in-one + MELTR

Citation

@inproceedings{ko2023meltr,
  title={MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models},
  author={Ko, Dohwan and Choi, Joonmyung and Choi, Hyeong Kyu and On, Kyoung-Woon and Roh, Byungseok and Kim, Hyunwoo J},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2023}
}