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Title:          Few shots are all you need: A progressive learning approach for low resource handwritten text recognition
Subject:        Pattern Recognition Letters, 160 (2022) 43-49. doi:10.1016/j.patrec.2022.06.003
Keywords:       "Handwritten text recognition"; "Few-shot learning"; "Unsupervised progressive learning"; "Ciphered manuscripts"
Author:         Mohamed Ali Souibgui
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Jhove (Rel. 1.22.1, 2019-04-17)
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      Title: Few shots are all you need: A progressive learning approach for low resource handwritten text recognition
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        Title: 1 Introduction
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        Title: 2 Related work
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          Title: 2.1 Low resource manuscript recognition
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          Title: 2.2 Handwritten text pseudo-Labeling
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        Title: 3 Proposed approach
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          Title: 3.1 Few-shot manuscript matching
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          Title: 3.2 Similarity matrix decoding
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          Title: 3.3 Progressive pseudo-labeling
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          Title: 5.4 Is semi-supervised learning worth to use?
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        Title: 6 Conclusion
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        Title: Declaration of Competing Interest
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        Title: Acknowledgement
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        Title: References
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    Author: Mohamed Ali Souibgui
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  Checksum: 1436e0b0
   Type: CRC32
  Checksum: ea85413972a037fcf418f9379c4931b4
   Type: MD5
  Checksum: 787d74e8acf4faa6d4aaa91c7027a6fa53f1dce5
   Type: SHA-1