Dongmei He

Chengdu University of Traditional Chinese Medicine

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Yuan Zhang

Northwest A&F University

Gexiu Liu

Jinan University

Yangqiu Li

Jinan University

Baoying Fang

University of Shanghai for Science and Technology

Bixia Ke

Guangdong Provincial Center for Disease Control and Prevention

KE Chang-wen

Guangdong Provincial Center for Disease Control and Prevention

HU Xiao-mao

Xiangnan University

Shuchang Chen

Guangxi University

Yangjun Gao

Changzhi Medical College

Fengxia Tian

Nanyang Normal University

Cooperative Institutions

Chinese Academy of Sciences

Chinese Academy of Medical Sciences & Peking Union Medical College

Jinan University

Shanghai Jiao Tong University

Chongqing Medical University

University of Chinese Academy of Sciences

Chengdu University of Traditional Chinese Medicine

Sun Yat-sen University

University of Electronic Science and Technology of China

Huazhong University of Science and Technology

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Original bacterial data of L. chuanxiong and soil

Figshare (2023)

Dongmei He

These data are fastq files of high-throughput sequencing of stem nodes, rhizomes and soil of Ligusticum chuanxiong under different propagation modes.

10.6084/m9.figshare.22106528

Cite

Citations (0)

Cognitive-behavioral therapy for insomnia with objective short sleep duration phenotype

Binghu Jiang Dongmei He Dongmei Ren Zhiwei Guo

Sleep

Chronic Insomnia

10.37766/inplasy2022.8.0046

Cite

Citations (0)

天然水の水域における層間剥離の計算方法【JST・京大機械翻訳】

Jiqun Zhang Deng Baorong Hu Changjun Junhua Chang Xinhao Li

Source

Cite

Citations (0)

DPSSD: Dual-Path Single-Shot Detector

Sensors (2022)

Dongri Shan Yalu Xu Peng Zhang Xiaofang Wang Dongmei He

Object detection is one of the most important and challenging branches of computer vision. It has been widely used in people's lives, such as for surveillance security and autonomous driving. We propose a novel dual-path multi-scale object detection paradigm in order to extract more abundant feature information for the object detection task and optimize the multi-scale object detection problem, and based on this, we design a single-stage general object detection algorithm called Dual-Path Single-Shot Detector (DPSSD). The dual path ensures that shallow features, i.e., residual path and concatenation path, can be more easily utilized to improve detection accuracy. Our improved dual-path network is more adaptable to multi-scale object detection tasks, and we combine it with the feature fusion module to generate a multi-scale feature learning paradigm called the "Dual-Path Feature Pyramid". We trained the models on PASCAL VOC datasets and COCO datasets with 320 pixels and 512 pixels input, respectively, and performed inference experiments to validate the structures in the neural network. The experimental results show that our algorithm has an advantage over anchor-based single-stage object detection algorithms and achieves an advanced level in average accuracy. Researchers can replicate the reported results of this paper.

Pyramid (geometry)

Feature (linguistics)

Concatenation (mathematics)

10.3390/s22124616

Cite

Citations (3)

Effects of all-trans retinoic acid on hTERT gene expression and telomerase activity of HL-60 cells

The Chinese-German Journal of Clinical Oncology (2003)

Dongmei He Yuan Zhang

Fluorescein isothiocyanate

10.1007/bf02842294

Cite