HWNet v2: An Efficient Word Image Representation for Handwritten Documents

17 February 2018

Papers citing "HWNet v2: An Efficient Word Image Representation for Handwritten Documents"

9 / 9 papers shown

Title
ST-KeyS: Self-Supervised Transformer for Keyword Spotting in Historical Handwritten Documents Sana Khamekhem Jemni Sourour Ammar Mohamed Ali Souibgui Yousri Kessentini A. Cheddad 23 3 0 06 Mar 2023
A Study of Augmentation Methods for Handwritten Stenography Recognition R. Heil Eva Breznik 24 3 0 05 Mar 2023
Towards Robust Handwritten Text Recognition with On-the-fly User Participation Ajoy Mondal Rohit Saluja C. V. Jawahar HAI 30 0 0 17 Dec 2022
Enhancing Indic Handwritten Text Recognition Using Global Semantic Information Ajoy Mondal C. V. Jawahar 24 2 0 15 Dec 2022
Self-Training of Handwritten Word Recognition for Synthetic-to-Real Adaptation Fabian Wolf G. Fink 27 5 0 07 Jun 2022
Recognition-free Question Answering on Handwritten Document Collections Oliver Tüselmann Friedrich Müller Fabian Wolf G. Fink RALM 16 4 0 12 Feb 2022
Pho(SC)-CTC -- A Hybrid Approach Towards Zero-shot Word Image Recognition Ravindra K Bhatt Anuj Rai N. C. Krishnan S. Chanda 42 2 0 31 May 2021
Synthetic Data for Deep Learning Sergey I. Nikolenko 46 348 0 25 Sep 2019
Unsupervised Adaptation for Synthetic-to-Real Handwritten Word Recognition Lei Kang Marçal Rusiñol Alicia Fornés Pau Riba M. Villegas 18 23 0 18 Sep 2019