Methods › Computer Vision › OCR Models › PP-OCR

PP-OCR

4 papers tagged archive 2025-07-28

Introduced by Yuning Du et al. in PP-OCR: A Practical Ultra Lightweight OCR System

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

PP-OCR is an OCR system that consists of three parts, text detection, detected boxes rectification and text recognition. The purpose of text detection is to locate the text area in the image. In PP-OCR, Differentiable Binarization (DB) is used as text detector which is based on a simple segmentation network. It integrates feature extraction and sequence modeling. It adopts the Connectionist Temporal Classification (CTC) loss to avoid the inconsistency between prediction and label.

Paper Source

Papers archive 2025-07-28

4 shown of 4, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

NusaAksara: A Multimodal and Multilingual Benchmark for Preserving Indonesian Indigenous Scripts
25 Feb 2025 · 0 repositories · arXiv:2502.18148
OSPC: Detecting Harmful Memes with Large Language Model as a Catalyst
14 Jun 2024 · 0 repositories · arXiv:2406.09779
PP-OCRv2: Bag of Tricks for Ultra Lightweight OCR System
7 Sep 2021 · 3 repositories · arXiv:2109.03144

Syntology ran 0 of 6 samples · 6 unverified
PP-OCR: A Practical Ultra Lightweight OCR System
21 Sep 2020 · 10 repositories · arXiv:2009.09941

Syntology ran 0 of 12 samples · 12 unverified

Tasks archive 2025-07-28

11 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

Task	Papers
Optical Character Recognition (OCR)	4
Optical Character Recognition	3
Computational Efficiency	1
Image Captioning	1
Image Segmentation	1
Language Identification	1
Language Modeling	1
Language Modelling	1
Large Language Model	1
Semantic Segmentation	1
Transliteration	1

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (4 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

OCR Models Convolutions

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