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Few Shots Are All You Need: A Progressive Few Shot Learning Approach for Low Resource Handwritten Text Recognition
21 July 2021
Mohamed Ali Souibgui
A. Forns
Yousri Kessentini
Beta Megyesi
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Papers citing
"Few Shots Are All You Need: A Progressive Few Shot Learning Approach for Low Resource Handwritten Text Recognition"
5 / 5 papers shown
Title
NeuroWrite: Predictive Handwritten Digit Classification using Deep Neural Networks
Kottakota Asish
P. S. Teja
R. K. Chander
D. Hema
6
2
0
02 Nov 2023
VGTS: Visually Guided Text Spotting for Novel Categories in Historical Manuscripts
Wenjie Hu
Hongjian Zhan
Xinchen Ma
Cong Liu
Bing Yin
Yue Lu
14
0
0
03 Apr 2023
Active Transfer Prototypical Network: An Efficient Labeling Algorithm for Time-Series Data
Yuqi Zhu
M. Tnani
Timo Jahnz
Klaus Diepold
11
0
0
28 Sep 2022
Two Decades of Bengali Handwritten Digit Recognition: A Survey
A. A. Ashikur Rahman
Md. Bakhtiar Hasan
Sabbir Ahmed
Tasnim Ahmed
Md. Hamjajul Ashmafee
Mohammad Ridwan Kabir
M. H. Kabir
30
24
0
05 Jun 2022
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,434
0
11 Nov 2021
1