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What is a good evaluation protocol for text localization systems? Concerns, arguments, comparisons and solutions

  • Published:2016-02 Issue: Volume:46 Page:1-17
  • ISSN:0262-8856
  • Container-title:Image and Vision Computing
  • language:en
  • Short-container-title:Image and Vision Computing

Author:

Calarasanu Stefania,Fabrizio Jonathan,Dubuisson Severine

Funder

FUI

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference65 articles.

1. Text detection and recognition in imagery: a survey;Qixiang;Pattern Anal. Mach. Intell.,2015

2. Text detection in street level image;Fabrizio;Pattern. Anal. Applic.,2013

3. A method for text localization and recognition in real-world images;Neumann,2010

4. Object count/area graphs for the evaluation of object detection and segmentation algorithms;Wolf;Int. J. Doc. Anal. Recognit.,2006

5. Robust text detection in natural scene images by generalized color-enhanced contrasting extremal region and neural networks;Sun,2014

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2. Fenet: Feature Enhancement Network for Arbitrary Direction Text Detection;SSRN Electronic Journal;2022

3. CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks;2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2020-06

4. Unconstrained Text Detection in Manga: A New Dataset and Baseline;Computer Vision – ECCV 2020 Workshops;2020

5. A First Step Toward a Fair Comparison of Evaluation Protocols for Text Detection Algorithms;2018 13th IAPR International Workshop on Document Analysis Systems (DAS);2018-04
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