Clustering swap prediction for image-text pre-training

It is essential to delve into the strategy of multimodal model pre-training, which is an obvious impact on downstream tasks. Currently, clustering learning has achieved noteworthy benefits in multiple methods. However, due to the availability of open image-text pairs, it is challenging for multimoda...

詳細記述

保存先:
書誌詳細
主要な著者: Fayou, Sun, Meng, Zuqiang, Ngo, Hea Choon, Sek, Yong Wee
フォーマット: 論文
言語:English
出版事項: Nature Research 2024
オンライン・アクセス:http://eprints.utem.edu.my/id/eprint/27536/2/0130221062024105857.PDF
http://eprints.utem.edu.my/id/eprint/27536/
https://www.nature.com/articles/s41598-024-60832-x#:~:text=We%20argue%20that%20the%20advantages,can%20be%20dynamically%20adjusted%20with
https://doi.org/10.1038/s41598-024-60832-x
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!

類似資料