Mountchicken/Text-Recognition-on-Cross-Domain-Datasets
Improved Text recognition algorithms on different text domains like scene text, handwritten, document, Chinese/English, even ancient books
PythonMIT
Stargazers
- Agiroy4712XIAMEN UNIVERSITY OF TECHNOLOGY
- amadeuzou
- ayumiymkHuazhong University of Science and Technology
- billqxg
- bygreencnChina
- caibolunSouth China University of Technology
- cdchushig
- chenjun2haomicroBT
- copperdongpku
- czdd-rgb
- didier12345
- duylebkHCMHCMC University of Technology
- flrngel@Ainbr
- fly51flyPRIS
- frotmsAmoy
- henuliulei
- huyhoang17HUST
- jane114
- jfkuang
- joe0327
- jpWangSouth China University of Technology
- juzihhu
- lcy0604SCUT
- lianyingteng
- liuzhuang1024TJNU
- Mountchicken@SCUT-DLVCLab
- peif1987
- phamvanlinh143Viettel AI
- roger1993Hong Kong
- scutyuanzhi
- shannanyinxiangSouth China University of Technology
- stq-hydra
- SunAriesCNBeijing, China
- wisdom-pan不加班不内卷
- xiaxueaaa
- Yuliang-LiuHuazhong University of Science and Technology