Attentionocrfortextrecognition

由 Z Wojna 著作 · 2017 · 被引用 197 次 — Traditional Optical Character Recognition (OCR) systems mainly focus on extracting text from scanned documents. Text acquired from natural scenes is more ...

This tutorial explains how to convert the Attention OCR (AOCR) model from the TensorFlow Attention OCR repository to the Intermediate Representation (IR).

2023年5月8日 — In this tutorial, we will go through two of such methods of scene text recognition: Attentional Scene TExt Recognizer with flexible ...

Vertical Attention Network: an end-to-end model for handwritten text recognition at paragraph level. · Getting Started · Datasets · Training And Evaluation.

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

In this paper, we propose an end-to-end text recognition approach with pre-trained image Transformer and text Transformer models, namely TrOCR, which leverages ...

2022年5月15日 — Attention-OCR is an OCR project available on tensorflow as an implementation of this paper and came into being as a way to solve the image ...

由 Z Cheng 著作 · 2017 · 被引用 524 次 — Character Recognition (OCR), recognizing texts from natu- ral images is still a challenging task. The state of the art em-. *Corresponding author. ploys ...

由 Z Xiao 著作 · 2022 · 被引用 14 次 — The complexity of text and recognition environment increases the difficulty of scene text recognition. The Optical Character Recognition(OCR) ( ...

2020年5月27日 — 看到这里了，点赞关注一下吧！ [1] A Feasible Framework for Arbitrary-Shaped Scene Text Recognition. arXiv:1912.04561v2. [2] ICDAR2019 Robust ...