Text-DIAE: A Self-Supervised Degradation Invariant Autoencoders for Text
Recognition and Document Enhancement

Text-DIAE: A Self-Supervised Degradation Invariant Autoencoders for Text Recognition and Document Enhancement

9 March 2022

Mohamed Ali Souibgui

Sanket Biswas

Ali Furkan Biten

Yousri Kessentini

Josep Lladós

Dimosthenis Karatzas

Papers citing "Text-DIAE: A Self-Supervised Degradation Invariant Autoencoders for Text Recognition and Document Enhancement"

7 / 7 papers shown

Title
Self-Supervised Vision Transformers for Writer Retrieval Tim Raven Arthur Matei Gernot A. Fink ViT 20 0 0 01 Sep 2024
DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks Jiaxin Zhang Dezhi Peng Chongyu Liu Peirong Zhang Lianwen Jin VLM 35 12 0 07 May 2024
Spatial Context-based Self-Supervised Learning for Handwritten Text Recognition Carlos Peñarrubia Carlos Garrido-Munoz J. J. Valero-Mas Jorge Calvo-Zaragoza 37 1 0 17 Apr 2024
ST-KeyS: Self-Supervised Transformer for Keyword Spotting in Historical Handwritten Documents Sana Khamekhem Jemni Sourour Ammar Mohamed Ali Souibgui Yousri Kessentini A. Cheddad 15 3 0 06 Mar 2023
DocEnTr: An End-to-End Document Image Enhancement Transformer Mohamed Ali Souibgui Sanket Biswas Sana Khamekhem Jemni Yousri Kessentini Alicia Fornés Josep Lladós Umapada Pal ViT 47 45 0 25 Jan 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
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 314 5,775 0 29 Apr 2021