中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition

文献类型:期刊论文

作者Chen, Yuntao1; Han, Chenxia2; Li, Yanghao2; Huang, Zehao2; Jiang, Yi2; Wang, Naiyan2; Zhang, Zhaoxiang1
刊名JOURNAL OF MACHINE LEARNING RESEARCH
出版日期2019
卷号20页码:8
关键词Object Detection Instance Recognition Distributed Training Mixed Precision Training
ISSN号1532-4435
通讯作者Chen, Yuntao(CHENYUNTAO2016@IA.AC.CN)
英文摘要Object detection and instance recognition play a central role in many AI applications like autonomous driving, video surveillance and medical image analysis. However, training object detection models on large scale datasets remains computationally expensive and time consuming. This paper presents an efficient and open source object detection framework called SimpleDet which enables the training of state-of-the-art detection models on consumer grade hardware at large scale. SimpleDet covers a wide range of models including both high-performance and high-speed ones. SimpleDet is well-optimized for both low precision training and distributed training and achieves 70% higher throughput for the Mask R-CNN detector compared with existing frameworks.
WOS研究方向Automation & Control Systems ; Computer Science
语种英语
WOS记录号WOS:000491132200020
出版者MICROTOME PUBL
源URL[http://ir.ia.ac.cn/handle/173211/26432]  
专题自动化研究所_智能感知与计算研究中心
通讯作者Chen, Yuntao
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.TuSimple, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Chen, Yuntao,Han, Chenxia,Li, Yanghao,et al. SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition[J]. JOURNAL OF MACHINE LEARNING RESEARCH,2019,20:8.
APA Chen, Yuntao.,Han, Chenxia.,Li, Yanghao.,Huang, Zehao.,Jiang, Yi.,...&Zhang, Zhaoxiang.(2019).SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition.JOURNAL OF MACHINE LEARNING RESEARCH,20,8.
MLA Chen, Yuntao,et al."SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition".JOURNAL OF MACHINE LEARNING RESEARCH 20(2019):8.

入库方式: OAI收割

来源:自动化研究所

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