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An Empirical Study of Scaling Law for OCR

An Empirical Study of Scaling Law for OCR

29 December 2023
Miao Rang
Zhenni Bi
Chuanjian Liu
Yunhe Wang
Kai Han
ArXivPDFHTML

Papers citing "An Empirical Study of Scaling Law for OCR"

13 / 13 papers shown
Title
Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation
Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation
Andrea Maracani
Savas Ozkan
Sijun Cho
Hyowon Kim
Eunchung Noh
Jeongwon Min
Cho Jung Min
Dookun Park
Mete Ozay
35
0
0
20 Mar 2025
Type-R: Automatically Retouching Typos for Text-to-Image Generation
Type-R: Automatically Retouching Typos for Text-to-Image Generation
Wataru Shimoda
Naoto Inoue
Daichi Haraguchi
Hayato Mitani
S. Uchida
Kota Yamaguchi
DiffM
91
0
0
27 Nov 2024
Driving by the Rules: A Benchmark for Integrating Traffic Sign Regulations into Vectorized HD Map
Driving by the Rules: A Benchmark for Integrating Traffic Sign Regulations into Vectorized HD Map
Xinyuan Chang
Maixuan Xue
Xinran Liu
Zheng Pan
Xing Wei
40
1
0
31 Oct 2024
Tell Codec What Worth Compressing: Semantically Disentangled Image
  Coding for Machine with LMMs
Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs
Jinming Liu
Yuntao Wei
Junyan Lin
Shengyang Zhao
Heming Sun
Zhibo Chen
Wenjun Zeng
Xin Jin
27
2
0
16 Aug 2024
CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained
  Vision-Language Model
CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
Shuai Zhao
Xiaohan Wang
Linchao Zhu
Yezhou Yang
CLIP
VLM
11
25
0
23 May 2023
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language
  Understanding
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding
Kenton Lee
Mandar Joshi
Iulia Turc
Hexiang Hu
Fangyu Liu
Julian Martin Eisenschlos
Urvashi Khandelwal
Peter Shaw
Ming-Wei Chang
Kristina Toutanova
CLIP
VLM
148
259
0
07 Oct 2022
Reading and Writing: Discriminative and Generative Modeling for
  Self-Supervised Text Recognition
Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognition
Mingkun Yang
Minghui Liao
Pu Lu
Jing Wang
Shenggao Zhu
Hualin Luo
Qingzhen Tian
X. Bai
SSL
27
55
0
01 Jul 2022
TrOCR: Transformer-based Optical Character Recognition with Pre-trained
  Models
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
Minghao Li
Tengchao Lv
Jingye Chen
Lei Cui
Yijuan Lu
D. Florêncio
Cha Zhang
Zhoujun Li
Furu Wei
ViT
93
340
0
21 Sep 2021
CMT: Convolutional Neural Networks Meet Vision Transformers
CMT: Convolutional Neural Networks Meet Vision Transformers
Jianyuan Guo
Kai Han
Han Wu
Yehui Tang
Chunjing Xu
Yunhe Wang
Chang Xu
ViT
328
500
0
13 Jul 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
220
4,424
0
23 Jan 2020
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents
Guillaume Jaume
H. K. Ekenel
Jean-Philippe Thiran
112
353
0
27 May 2019
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in
  Natural Images
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images
Andreas Veit
Tomas Matera
Lukás Neumann
Jirí Matas
Serge J. Belongie
175
515
0
26 Jan 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
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