226 citations · 352 across the 5 of their papers we have counts for
5 papers
Deep Multi-Scale Representation Learning with Attention for Automatic Modulation Classification
Xiaowei Wu, Shengyun Wei, Yan Zhou
Currently, deep learning methods with stacking small size convolutional filters are widely used for automatic modulation classification (AMC). In this report, we find some experien…
PP-YOLOE: An evolved version of YOLO
Shangliang Xu, Xinxin Wang, Wenyu Lv +8
In this report, we present PP-YOLOE, an industrial state-of-the-art object detector with high performance and friendly deployment. We optimize on the basis of the previous PP-YOLOv…
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-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…
Sample Mixed-Based Data Augmentation for Domestic Audio Tagging
Shengyun Wei, Kele Xu, Dezhi Wang +3
Audio tagging has attracted increasing attention since last decade and has various potential applications in many fields. The objective of audio tagging is to predict the labels of…