Search Results for author: Xinxin Wang

Found 9 papers, 4 papers with code

Low-dimensional Denoising Embedding Transformer for ECG Classification

no code implementations31 Mar 2021 Jian Guan, Wenbo Wang, Pengming Feng, Xinxin Wang, Wenwu Wang

However, the high-dimensional embedding obtained via 1-D convolution and positional encoding can lead to the loss of the signal's own temporal information and a large amount of training parameters.

Classification Denoising +2

PP-YOLOv2: A Practical Object Detector

1 code implementation21 Apr 2021 Xin Huang, Xinxin Wang, Wenyu Lv, Xiaying Bai, Xiang Long, Kaipeng Deng, Qingqing Dang, Shumin Han, Qiwen Liu, Xiaoguang Hu, dianhai yu, Yanjun Ma, Osamu Yoshie

To meet these two concerns, we comprehensively evaluate a collection of existing refinements to improve the performance of PP-YOLO while almost keep the infer time unchanged.

Object Real-Time Object Detection

Training Spiking Neural Networks Using Lessons From Deep Learning

3 code implementations27 Sep 2021 Jason K. Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu

This paper serves as a tutorial and perspective showing how to apply the lessons learnt from several decades of research in deep learning, gradient descent, backpropagation and neuroscience to biologically plausible spiking neural neural networks.

PP-YOLOE: An evolved version of YOLO

8 code implementations30 Mar 2022 Shangliang Xu, Xinxin Wang, Wenyu Lv, Qinyao Chang, Cheng Cui, Kaipeng Deng, Guanzhong Wang, Qingqing Dang, Shengyu Wei, Yuning Du, Baohua Lai

In this report, we present PP-YOLOE, an industrial state-of-the-art object detector with high performance and friendly deployment.

Dense Object Detection Multi-Object Tracking +3

PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector

2 code implementations4 Nov 2022 Xinxin Wang, Guanzhong Wang, Qingqing Dang, Yi Liu, Xiaoguang Hu, dianhai yu

With multi-scale training and testing, PP-YOLOE-R-l and PP-YOLOE-R-x further improve the detection precision to 80. 02 and 80. 73 mAP.

Object object-detection +3

Unified Vision-Language Representation Modeling for E-Commerce Same-Style Products Retrieval

no code implementations10 Feb 2023 Ben Chen, Linbo Jin, Xinxin Wang, Dehong Gao, Wen Jiang, Wei Ning

Same-style products retrieval plays an important role in e-commerce platforms, aiming to identify the same products which may have different text descriptions or images.

Attribute Language Modelling +3

RN-Net: Reservoir Nodes-Enabled Neuromorphic Vision Sensing Network

no code implementations19 Mar 2023 Sangmin Yoo, Eric Yeu-Jer Lee, Ziyu Wang, Xinxin Wang, Wei D. Lu

Event-based cameras are inspired by the sparse and asynchronous spike representation of the biological visual system.

PowerGAN: A Machine Learning Approach for Power Side-Channel Attack on Compute-in-Memory Accelerators

no code implementations13 Apr 2023 Ziyu Wang, Yuting Wu, Yongmo Park, Sangmin Yoo, Xinxin Wang, Jason K. Eshraghian, Wei D. Lu

Analog compute-in-memory (CIM) systems are promising for deep neural network (DNN) inference acceleration due to their energy efficiency and high throughput.

Generative Adversarial Network

Bulk-Switching Memristor-based Compute-In-Memory Module for Deep Neural Network Training

no code implementations23 May 2023 Yuting Wu, Qiwen Wang, Ziyu Wang, Xinxin Wang, Buvna Ayyagari, Siddarth Krishnan, Michael Chudzik, Wei D. Lu

The efficacy of training larger models is evaluated using realistic hardware parameters and shows that that analog CIM modules can enable efficient mix-precision DNN training with accuracy comparable to full-precision software trained models.

Cannot find the paper you are looking for? You can Submit a new open access paper.