Cargando…
S-Swin Transformer: simplified Swin Transformer model for offline handwritten Chinese character recognition
The Transformer shows good prospects in computer vision. However, the Swin Transformer model has the disadvantage of a large number of parameters and high computational effort. To effectively solve these problems of the model, a simplified Swin Transformer (S-Swin Transformer) model was proposed in...
Autores principales: | Dan, Yongping, Zhu, Zongnan, Jin, Weishou, Li, Zhuo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575930/ https://www.ncbi.nlm.nih.gov/pubmed/36262120 http://dx.doi.org/10.7717/peerj-cs.1093 |
Ejemplares similares
-
PF-ViT: Parallel and Fast Vision Transformer for Offline Handwritten Chinese Character Recognition
por: Dan, Yongping, et al.
Publicado: (2022) -
Reconstructed SqueezeNext with C-CBAM for offline handwritten Chinese character recognition
por: Wu, Ruiqi, et al.
Publicado: (2023) -
SwinOCSR: end-to-end optical chemical structure recognition using a Swin Transformer
por: Xu, Zhanpeng, et al.
Publicado: (2022) -
Full depth CNN classifier for handwritten and license plate characters recognition
por: Salemdeeb, Mohammed, et al.
Publicado: (2021) -
SwinBTS: A Method for 3D Multimodal Brain Tumor Segmentation Using Swin Transformer
por: Jiang, Yun, et al.
Publicado: (2022)