ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1703.07645
  4. Cited By
Neural Ctrl-F: Segmentation-free Query-by-String Word Spotting in
  Handwritten Manuscript Collections

Neural Ctrl-F: Segmentation-free Query-by-String Word Spotting in Handwritten Manuscript Collections

22 March 2017
T. Wilkinson
Jonas Lindström
Anders Brun
ArXivPDFHTML

Papers citing "Neural Ctrl-F: Segmentation-free Query-by-String Word Spotting in Handwritten Manuscript Collections"

5 / 5 papers shown
Title
VGTS: Visually Guided Text Spotting for Novel Categories in Historical
  Manuscripts
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
ST-KeyS: Self-Supervised Transformer for Keyword Spotting in Historical
  Handwritten Documents
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
A Study of Augmentation Methods for Handwritten Stenography Recognition
A Study of Augmentation Methods for Handwritten Stenography Recognition
R. Heil
Eva Breznik
22
3
0
05 Mar 2023
A Multi-oriented Chinese Keyword Spotter Guided by Text Line Detection
A Multi-oriented Chinese Keyword Spotter Guided by Text Line Detection
Pei Xu
Shan Huang
Hongzhen Wang
Hao Song
Shen Huang
Qi Ju
11
0
0
03 Jan 2020
EATEN: Entity-aware Attention for Single Shot Visual Text Extraction
EATEN: Entity-aware Attention for Single Shot Visual Text Extraction
He Guo
Xiameng Qin
Jiaming Liu
Junyu Han
Jingtuo Liu
Errui Ding
17
45
0
20 Sep 2019
1