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20192022
most citedPP-OCR: A Practical Ultra Lightweight OCR System

111 citations · 364 across the 9 of their papers we have counts for

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9 papers · 1 filter

cs.CV2022★ 14 cited

PP-StructureV2: A Stronger Document Analysis System

Chenxia Li, Ruoyu Guo, Jun Zhou +6

A large amount of document data exists in unstructured form such as raw images without any text information. Designing a practical document image analysis system is a meaningful bu…

cs.CV2022★ 70 cited

PP-OCRv3: More Attempts for the Improvement of Ultra Lightweight OCR System

Chenxia Li, Weiwei Liu, Ruoyu Guo +9

Optical character recognition (OCR) technology has been widely used in various scenes, as shown in Figure 1. Designing a practical OCR system is still a meaningful but challenging…

cs.CV2021★ 6 cited

PP-ShiTu: A Practical Lightweight Image Recognition System

Shengyu Wei, Ruoyu Guo, Cheng Cui +10

In recent years, image recognition applications have developed rapidly. A large number of studies and techniques have emerged in different fields, such as face recognition, pedestr…

cs.CV2021★ 26 cited

PP-OCRv2: Bag of Tricks for Ultra Lightweight OCR System

Yuning Du, Chenxia Li, Ruoyu Guo +9

Optical Character Recognition (OCR) systems have been widely used in various of application scenarios. Designing an OCR system is still a challenging task. In previous work, we pro…

cs.CV2021★ 97 cited

PP-LCNet: A Lightweight CPU Convolutional Neural Network

Cheng Cui, Tingquan Gao, Shengyu Wei +10

We propose a lightweight CPU network based on the MKLDNN acceleration strategy, named PP-LCNet, which improves the performance of lightweight models on multiple tasks. This paper l…

cs.CV2021★ 3 cited

Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve Backbones

Cheng Cui, Ruoyu Guo, Yuning Du +10

Recently, research efforts have been concentrated on revealing how pre-trained model makes a difference in neural network performance. Self-supervision and semi-supervised learning…

cs.CV2020★ 35 cited

HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network

Pengcheng Yuan, Shufei Lin, Cheng Cui +5

This paper addresses representational block named Hierarchical-Split Block, which can be taken as a plug-and-play block to upgrade existing convolutional neural networks, improves…

cs.CV2020★ 111 cited

PP-OCR: A Practical Ultra Lightweight OCR System

Yuning Du, Chenxia Li, Ruoyu Guo +8

The Optical Character Recognition (OCR) systems have been widely used in various of application scenarios, such as office automation (OA) systems, factory automations, online educa…

cs.CV2019★ 2 cited

2nd Place Solution in Google AI Open Images Object Detection Track 2019

Ruoyu Guo, Cheng Cui, Yuning Du +6

We present an object detection framework based on PaddlePaddle. We put all the strategies together (multi-scale training, FPN, Cascade, Dcnv2, Non-local, libra loss) based on ResNe…