Search Results for author: Ping Gong

Found 7 papers, 3 papers with code

Understand Data Preprocessing for Effective End-to-End Training of Deep Neural Networks

no code implementations18 Apr 2023 Ping Gong, Yuxin Ma, Cheng Li, Xiaosong Ma, Sam H. Noh

In this paper, we primarily focus on understanding the data preprocessing pipeline for DNN Training in the public cloud.

Joint localization and classification of breast tumors on ultrasound images using a novel auxiliary attention-based framework

no code implementations11 Oct 2022 Zong Fan, Ping Gong, Shanshan Tang, Christine U. Lee, Xiaohui Zhang, Pengfei Song, Shigao Chen, Hua Li

By use of the attention mechanism, the auxiliary lesion-aware network can optimize multi-scale intermediate feature maps and extract rich semantic information to improve classification and localization performance.

Classification Lesion Detection

One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement

no code implementations31 Jul 2022 Zihao Yin, Ping Gong, Chunyu Wang, Yizhou Yu, Yizhou Wang

As an important upstream task for many medical applications, supervised landmark localization still requires non-negligible annotation costs to achieve desirable performance.

BiFeat: Supercharge GNN Training via Graph Feature Quantization

1 code implementation29 Jul 2022 Yuxin Ma, Ping Gong, Jun Yi, Zhewei Yao, Cheng Li, Yuxiong He, Feng Yan

We identify the main accuracy impact factors in graph feature quantization and theoretically prove that BiFeat training converges to a network where the loss is within $\epsilon$ of the optimal loss of uncompressed network.


Unsupervised Domain Adaptation Network with Category-Centric Prototype Aligner for Biomedical Image Segmentation

no code implementations3 Mar 2021 Ping Gong, Wenwen Yu, Qiuwen Sun, Ruohan Zhao, Junfeng Hu

Specifically, our approach consists of two key modules, a conditional domain discriminator~(CDD) and a category-centric prototype aligner~(CCPA).

Image Segmentation object-detection +4

PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks

2 code implementations16 Apr 2020 Wenwen Yu, Ning Lu, Xianbiao Qi, Ping Gong, Rong Xiao

Computer vision with state-of-the-art deep learning models has achieved huge success in the field of Optical Character Recognition (OCR) including text detection and recognition tasks recently.

Graph Learning Key Information Extraction +3

MASTER: Multi-Aspect Non-local Network for Scene Text Recognition

7 code implementations7 Oct 2019 Ning Lu, Wenwen Yu, Xianbiao Qi, Yihao Chen, Ping Gong, Rong Xiao, Xiang Bai

Attention-based scene text recognizers have gained huge success, which leverages a more compact intermediate representation to learn 1d- or 2d- attention by a RNN-based encoder-decoder architecture.

Scene Text Recognition

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