activity
20192023
most citedDETRs Beat YOLOs on Real-time Object Detection

250 citations · 750 across the 13 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 92 cited

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…

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…