目标检测模型及其优化方法综述
近年来,基于卷积神经网络的目标检测研究发展十分迅速,各种检测模型的改进方法层出不穷.本文主要对近几年内目标检测领域中一些具有借鉴价值的研究工作进行了整理归纳.首先,对基于卷积神经网络的主要目标检测框架进行了梳理和对比.其次,对目标检测框架中主干网络、颈部连接层、锚点等子模块的设计优化方法进行归纳,给出了各个模块设计优化的基本原则和思路.接着,在COCO数据集上对各类目标检测模型进行测试对比,并根据测试结果分析总结了不同子模块对模型检测性能的影响.最后,对目标检测领域未来的研究方向进行了展望....
Saved in:
Published in | 自动化学报 Vol. 47; no. 6; pp. 1232 - 1255 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | Chinese |
Published |
南京理工大学机械工程学院 南京210094
01.06.2021
|
Subjects | |
Online Access | Get full text |
ISSN | 0254-4156 |
DOI | 10.16383/j.aas.c190756 |
Cover
Abstract | 近年来,基于卷积神经网络的目标检测研究发展十分迅速,各种检测模型的改进方法层出不穷.本文主要对近几年内目标检测领域中一些具有借鉴价值的研究工作进行了整理归纳.首先,对基于卷积神经网络的主要目标检测框架进行了梳理和对比.其次,对目标检测框架中主干网络、颈部连接层、锚点等子模块的设计优化方法进行归纳,给出了各个模块设计优化的基本原则和思路.接着,在COCO数据集上对各类目标检测模型进行测试对比,并根据测试结果分析总结了不同子模块对模型检测性能的影响.最后,对目标检测领域未来的研究方向进行了展望. |
---|---|
AbstractList | 近年来,基于卷积神经网络的目标检测研究发展十分迅速,各种检测模型的改进方法层出不穷.本文主要对近几年内目标检测领域中一些具有借鉴价值的研究工作进行了整理归纳.首先,对基于卷积神经网络的主要目标检测框架进行了梳理和对比.其次,对目标检测框架中主干网络、颈部连接层、锚点等子模块的设计优化方法进行归纳,给出了各个模块设计优化的基本原则和思路.接着,在COCO数据集上对各类目标检测模型进行测试对比,并根据测试结果分析总结了不同子模块对模型检测性能的影响.最后,对目标检测领域未来的研究方向进行了展望. |
Author | 蒋弘毅 王永娟 康锦煜 |
AuthorAffiliation | 南京理工大学机械工程学院 南京210094 |
AuthorAffiliation_xml | – name: 南京理工大学机械工程学院 南京210094 |
Author_FL | KANG Jin-Yu WANG Yong-Juan JIANG Hong-Yi |
Author_FL_xml | – sequence: 1 fullname: JIANG Hong-Yi – sequence: 2 fullname: WANG Yong-Juan – sequence: 3 fullname: KANG Jin-Yu |
Author_xml | – sequence: 1 fullname: 蒋弘毅 – sequence: 2 fullname: 王永娟 – sequence: 3 fullname: 康锦煜 |
BookMark | eNotzb1KA0EUQOEpIhhjWh_BQtj13rszO7OlBP8gYKN1uLM7owbZgIsoVjYiGMHKIAii2FiJIApiwJdxJz6Gglan-86MaJSD0gkxhxBjmphksR8zV3GOGWiVNkQTSMlIokqnRbuqdi0AIlCG2BQLk5uncHcWHk7C6zA83te3w_ryvD59-xpf1xejMHoPL1eTj_H35_OsmPK8V7n2f1tia2V5s7MWdTdW1ztL3ahCQBkZpwvtjTPMKUk2DqggToh95mRh2TnPrKxWznuWORmbZ1pZiwYJCoKkJeb_3EMuPZfbvf7gYL_8PfaOi50jS0AIKYBMfgD1UVSy |
ContentType | Journal Article |
Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
Copyright_xml | – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
DBID | 2B. 4A8 92I 93N PSX TCJ |
DOI | 10.16383/j.aas.c190756 |
DatabaseName | Wanfang Data Journals - Hong Kong WANFANG Data Centre Wanfang Data Journals 万方数据期刊 - 香港版 China Online Journals (COJ) China Online Journals (COJ) |
DatabaseTitleList | |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering |
DocumentTitle_FL | A Survey of Object Detection Models and Its Optimization Methods |
EndPage | 1255 |
ExternalDocumentID | zdhxb202106004 |
GrantInformation_xml | – fundername: 军委创新项目 funderid: (18-163-11-ZT-005-032-01) |
GroupedDBID | --K -0Y .~1 0R~ 1B1 1~. 1~5 2B. 4.4 457 4A8 4G. 5GY 5VS 5XA 5XJ 7-5 71M 8P~ 92H 92I 93N AAIKJ AALRI AAQFI AAXUO ABJNI ABWVN ACGFS ACRPL ADEZE ADNMO ADTZH AECPX AEKER AFTJW AGHFR AGYEJ AITUG ALMA_UNASSIGNED_HOLDINGS BLXMC CCEZO CS3 CUBFJ CW9 EBS EJD EO8 EO9 EP2 EP3 FDB FEDTE FNPLU GBLVA HVGLF HZ~ IHE J1W JJJVA M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. PSX Q38 ROL RPZ SDF SDG SES TCJ TGT U1G U5S |
ID | FETCH-LOGICAL-s1014-8e7d7f8e8aa624a8e02d2a32af9e4dbaeefaa5b75effa4c28bc975bb18120d203 |
ISSN | 0254-4156 |
IngestDate | Thu May 29 04:10:30 EDT 2025 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 6 |
Keywords | 子模块优化 卷积神经网络 目标检测 |
Language | Chinese |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-s1014-8e7d7f8e8aa624a8e02d2a32af9e4dbaeefaa5b75effa4c28bc975bb18120d203 |
PageCount | 24 |
ParticipantIDs | wanfang_journals_zdhxb202106004 |
PublicationCentury | 2000 |
PublicationDate | 2021-06-01 |
PublicationDateYYYYMMDD | 2021-06-01 |
PublicationDate_xml | – month: 06 year: 2021 text: 2021-06-01 day: 01 |
PublicationDecade | 2020 |
PublicationTitle | 自动化学报 |
PublicationTitle_FL | Acta Automatica Sinica |
PublicationYear | 2021 |
Publisher | 南京理工大学机械工程学院 南京210094 |
Publisher_xml | – name: 南京理工大学机械工程学院 南京210094 |
SSID | ssib001102911 ssib006576350 ssib051375349 ssib007293330 ssj0059721 ssib007290157 ssib023646446 ssib005904210 |
Score | 2.4825075 |
SecondaryResourceType | review_article |
Snippet | 近年来,基于卷积神经网络的目标检测研究发展十分迅速,各种检测模型的改进方法层出不穷.本文主要对近几年内目标检测领域中一些具有借鉴价值的研究工作进行了整理归纳.首先,... |
SourceID | wanfang |
SourceType | Aggregation Database |
StartPage | 1232 |
Title | 目标检测模型及其优化方法综述 |
URI | https://d.wanfangdata.com.cn/periodical/zdhxb202106004 |
Volume | 47 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
journalDatabaseRights | – providerCode: PRVESC databaseName: Baden-Württemberg Complete Freedom Collection (Elsevier) issn: 0254-4156 databaseCode: GBLVA dateStart: 20110101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.sciencedirect.com omitProxy: true ssIdentifier: ssj0059721 providerName: Elsevier |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3NaxQxFA-1vehB_MRve_B5UEbnK5PkONnOWkQ9tdJbSXaz9rSCbUF68iKCFTxZBEEUL55EEAWx4D_jbv0zfC8bnVQFPy5D9u2b95E38_J7mZmEsXM2cwJTr0xM5sqkNDxLLI6CSVFawqtZ4fx8x_Ub1fxieXWJL03tOR-9tbS-Zi_1Nn77Xcn_RBVpGFf6SvYfIvtDKBKwjfHFI0YYj38VY2gEKA11A00FdQpY2FOjoNcXsKE5SO0pEuoMGg6q8RSkd0HWvsFBV9CUoDugpKdgo6Kz8KiVl1OA4qRLa2JrJOgu6DTGtURE7fVEZk0aW1Ec6jmovUz6i38PMp2k8mBR0I_GomkRiwDZBDd0CtrLRemq27LgyTVo9F2BKr0iQX6pTjylkUevXvmL0Bs4B0p479Guju9O7EVvMsqruVeGIsUuJ1SH-MnUnGxqmQVZNnEnMKNFCtku_qoMi-B0svFyyMNYQydU58aDxmSZ0HBzxCMAQdQITSB-5L8dqTDvFX6oMgYvQYRlgv-0JLgHGRv9lbuW-iit_LK3M7moqnyazVzR127WLfBFnKiiTM0VJuMI2FWcFh5sfwt6fB4978bfRdEWkrSrQBVNFPCswLKWCvUJxuG05pOfvQxdE5ZDJacu73LJfws3HJjhrQi2LRxg-0O9NVtPbp6DbGpj5RDbF63CeZhd2Hn2ZvziwfjVvfH7zfHrl6Pnm6PHD0f3P3zZfjp6tDXe-jh-92Tn0_bXz2-PsMVus9CZT8IWIskqbUKdSCf6YiCdNKbKSyNdmvdzU-RmoFzZt8a5gTHcCu4GA1P2cml7SnBrCfem_TwtjrLp4e2hO8ZmHW2dZwWmMyzBi760qcOxUPVcL6uw9_hxdjZ4uhxSxOry7uid-CPHSba3vR9Osem1O-vuNILeNXsmRPwb8kZ7nA |
linkProvider | Elsevier |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E6%A8%A1%E5%9E%8B%E5%8F%8A%E5%85%B6%E4%BC%98%E5%8C%96%E6%96%B9%E6%B3%95%E7%BB%BC%E8%BF%B0&rft.jtitle=%E8%87%AA%E5%8A%A8%E5%8C%96%E5%AD%A6%E6%8A%A5&rft.au=%E8%92%8B%E5%BC%98%E6%AF%85&rft.au=%E7%8E%8B%E6%B0%B8%E5%A8%9F&rft.au=%E5%BA%B7%E9%94%A6%E7%85%9C&rft.date=2021-06-01&rft.pub=%E5%8D%97%E4%BA%AC%E7%90%86%E5%B7%A5%E5%A4%A7%E5%AD%A6%E6%9C%BA%E6%A2%B0%E5%B7%A5%E7%A8%8B%E5%AD%A6%E9%99%A2+%E5%8D%97%E4%BA%AC210094&rft.issn=0254-4156&rft.volume=47&rft.issue=6&rft.spage=1232&rft.epage=1255&rft_id=info:doi/10.16383%2Fj.aas.c190756&rft.externalDocID=zdhxb202106004 |
thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fzdhxb%2Fzdhxb.jpg |