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Stroke-Based Autoencoders: Self-Supervised Learners for Efficient
  Zero-Shot Chinese Character Recognition

Stroke-Based Autoencoders: Self-Supervised Learners for Efficient Zero-Shot Chinese Character Recognition

17 July 2022
Zong Chen
Wen-Chi Yang
Xin Li
ArXivPDFHTML

Papers citing "Stroke-Based Autoencoders: Self-Supervised Learners for Efficient Zero-Shot Chinese Character Recognition"

3 / 3 papers shown
Title
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,434
0
11 Nov 2021
MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named
  Entity Recognition
MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition
Shuang Wu
Xiaoning Song
Zhenhua Feng
30
112
0
12 Jul 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,774
0
24 Feb 2021
1