136 citations · 608 across the 25 of their papers we have counts for
6 papers · 2 filters
PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices
Guanghua Yu, Qinyao Chang, Wenyu Lv +12
The better accuracy and efficiency trade-off has been a challenging problem in object detection. In this work, we are dedicated to studying key optimizations and neural network arc…
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…
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…
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…
PP-YOLOv2: A Practical Object Detector
Xin Huang, Xinxin Wang, Wenyu Lv +10
Being effective and efficient is essential to an object detector for practical use. To meet these two concerns, we comprehensively evaluate a collection of existing refinements to…
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…