Token Masked Pose Transformers Are Efficient Learners
In recent years, Transformer has achieved remarkable results in the field of computer vision, with its built-in attention layers effectively modeling global dependencies in images by transforming image features into token for... | Find, read and cite all the research you need on Tech Science Press
Authors
- Haixiang Zhang (ORCID: https://orcid.org/0009-0004-5802-1645)
- Xinyi Song (ORCID: https://orcid.org/0000-0002-5062-0756)
- Shaohua Li (ORCID: https://orcid.org/0000-0001-7115-5809)
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmc.2025.059006
- Primary Topic
- Augmented Reality Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Zhejiang Sci-Tech University