Bibliometric Analysis of One-stage and Two-stage Object Detection
Object Detection using deep learning has seen a boom in the recent couple of years. Observing the trend and its research, it is important to summarize bibliometrics related to object detection which will help researchers contribute to this subject area. This paper details bibliometrics for one-stage...
Saved in:
Published in | Library philosophy and practice pp. 1 - 32 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Lincoln
Library Philosophy and Practice
01.02.2021
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Object Detection using deep learning has seen a boom in the recent couple of years. Observing the trend and its research, it is important to summarize bibliometrics related to object detection which will help researchers contribute to this subject area. This paper details bibliometrics for one-stage object detection and two-stage object detection. This uses Scopus database for data analysis. This also uses tools like Sciencescape, Gephi, etc. It can be observed that the advancements to the field of object detection are seen in recent years and explored to its full extent. It is observed that Chinese universities and researchers are the foremost in the research studies focused on object detection. |
---|---|
AbstractList | Object Detection using deep learning has seen a boom in the recent couple of years. Observing the trend and its research, it is important to summarize bibliometrics related to object detection which will help researchers contribute to this subject area. This paper details bibliometrics for one-stage object detection and two-stage object detection. This uses Scopus database for data analysis. This also uses tools like Sciencescape, Gephi, etc. It can be observed that the advancements to the field of object detection are seen in recent years and explored to its full extent. It is observed that Chinese universities and researchers are the foremost in the research studies focused on object detection. |
Author | Kadam, Kalyani Dhananjay Bongale, Anupkumar M Joshi, Rahul Raghvendra Lohia, Aditya |
Author_xml | – sequence: 1 givenname: Aditya surname: Lohia fullname: Lohia, Aditya – sequence: 2 givenname: Kalyani surname: Kadam middlename: Dhananjay fullname: Kadam, Kalyani Dhananjay – sequence: 3 givenname: Rahul surname: Joshi middlename: Raghvendra fullname: Joshi, Rahul Raghvendra – sequence: 4 givenname: Anupkumar surname: Bongale middlename: M fullname: Bongale, Anupkumar M |
BookMark | eNotjs1qAyEYAKW00CTtOwg9C5_az9XjNk1_ILCXvQfd1eKy1XQ1lLx9A81pmMswa3KbcvI3ZMVRCAZCiHuyLmUCEFKCXJH2Jbo55m9flzjQNtn5XGKhOdAueVaq_fLUppH2v_lqnZv8UOmrrxfEnB7IXbBz8Y9Xbkj_tuu3H2zfvX9u2z07Gl2ZsxACyNGia4x0CHqUQfPQcJSI1nLQKggIRhkvRt4MaCCAAY3O6gG53JCn_-xxyT8nX-phyqfl8lsOAkEpANU8yz9kwEU7 |
ContentType | Journal Article |
Copyright | 2021. This work is published under https://creativecommons.org/licenses/by-nc/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
Copyright_xml | – notice: 2021. This work is published under https://creativecommons.org/licenses/by-nc/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
DBID | 3V. 7XB 8FK 8G5 ABUWG AFKRA ALSLI AZQEC BENPR CCPQU CNYFK DWQXO E3H F2A GNUQQ GUQSH M1O M2O MBDVC PIMPY PQEST PQQKQ PQUKI PRINS Q9U |
DatabaseName | ProQuest Central (Corporate) ProQuest Central (purchase pre-March 2016) ProQuest Central (Alumni) (purchase pre-March 2016) Research Library (Alumni Edition) ProQuest Central (Alumni) ProQuest Central UK/Ireland Social Science Premium Collection ProQuest Central Essentials ProQuest Central ProQuest One Community College Library & Information Science Collection ProQuest Central Library & Information Sciences Abstracts (LISA) Library & Information Science Abstracts (LISA) ProQuest Central Student Research Library Prep Library Science Database ProQuest Research Library Research Library (Corporate) Access via ProQuest (Open Access) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China ProQuest Central Basic |
DatabaseTitle | Publicly Available Content Database Social Science Premium Collection Research Library Prep ProQuest Central Student ProQuest Central Basic Library and Information Science Abstracts (LISA) ProQuest Central Essentials ProQuest One Academic Eastern Edition ProQuest Central (Alumni Edition) ProQuest One Community College Research Library (Alumni Edition) ProQuest Central China ProQuest Central ProQuest Library Science ProQuest One Academic UKI Edition ProQuest Central Korea Library & Information Science Collection ProQuest Research Library ProQuest One Academic ProQuest Central (Alumni) |
DatabaseTitleList | Publicly Available Content Database |
Database_xml | – sequence: 1 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering Library & Information Science Computer Science |
EISSN | 1522-0222 |
EndPage | 32 |
GeographicLocations | United States--US South Korea China |
GeographicLocations_xml | – name: South Korea – name: China – name: United States--US |
GroupedDBID | .4I 1XV 29L 2WC 3V. 5GY 7XB 8FK 8G5 8R4 8R5 AAFWJ ABDBF ABUWG AFKRA ALMA_UNASSIGNED_HOLDINGS ALSLI ARB AZQEC BENPR BPHCQ CCPQU CNYFK DWQXO E3H E3Z ELW F2A GNUQQ GUQSH IAO IEA IOF IPO M1O M2O MBDVC M~E OK1 P2P PIMPY PQEST PQQKQ PQUKI PRINS PROAC Q2X Q9U QF4 QN7 RNS TR2 XH6 XSB |
ID | FETCH-LOGICAL-p98t-ba0ff03da5b793b508d3f81f715355aa1086f20f969e2d17c590f09085ba8c513 |
IEDL.DBID | BENPR |
IngestDate | Thu Oct 10 19:13:18 EDT 2024 |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-p98t-ba0ff03da5b793b508d3f81f715355aa1086f20f969e2d17c590f09085ba8c513 |
OpenAccessLink | https://www.proquest.com/docview/2506600674?pq-origsite=%requestingapplication% |
PQID | 2506600674 |
PQPubID | 54903 |
PageCount | 32 |
ParticipantIDs | proquest_journals_2506600674 |
PublicationCentury | 2000 |
PublicationDate | 20210201 |
PublicationDateYYYYMMDD | 2021-02-01 |
PublicationDate_xml | – month: 02 year: 2021 text: 20210201 day: 01 |
PublicationDecade | 2020 |
PublicationPlace | Lincoln |
PublicationPlace_xml | – name: Lincoln |
PublicationTitle | Library philosophy and practice |
PublicationYear | 2021 |
Publisher | Library Philosophy and Practice |
Publisher_xml | – name: Library Philosophy and Practice |
SSID | ssj0023303 |
Score | 2.2960958 |
Snippet | Object Detection using deep learning has seen a boom in the recent couple of years. Observing the trend and its research, it is important to summarize... |
SourceID | proquest |
SourceType | Aggregation Database |
StartPage | 1 |
SubjectTerms | Artificial intelligence Bibliometrics Computer science Data collection Deep learning Engineering Funding Keywords Library and information science Machine learning Meteorological satellites Pattern recognition Sensors Telematics |
Title | Bibliometric Analysis of One-stage and Two-stage Object Detection |
URI | https://www.proquest.com/docview/2506600674 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1NS8NAEB1se9GDH1Xxoy17EG-Lu0k2zZ6k1ZYitBWp0FvZTXZFkKTaiH_f2bhRQfAYsqedzJs3k5l5ABcySTE7DhVNYhHSSDN0KYxaNEIui2wj4LaSe5vO4sljdLcUS19w2_i2yhoTK6DOitTVyK8wVMexw9boev1KnWqU-7vqJTQa0AowU2BNaA1Hs_uH75QLs_XwD8pWoWO8D7ue85HBl5EOYMvkbdir9RSId6827PxaDtiGrh8pIJfEzwy5O6xPH8Jg-Kxf3PC827FP6uUipLBknhuKpO_JEJVnZPFR-Ke5dkUXcmvKqv8qP4LFeLS4mVAviEDXMimpVsxaFmZKaPQqjdQqC23CbR9RSwilnGiSDZiVsTRBxvupkMwyiaRKqyQVPDyGZl7k5gRI0E95JiNh3SJQPKiFKwYZJXgaKBuFp9Cp72zlP-rN6scEZ_-_PoftwLV-VM3NHWiWb--mi7G71D1voB40pnz-CZWgnNg |
link.rule.ids | 315,783,787,11950,21400,33756,36187,43817,44398,74636,75252 |
linkProvider | ProQuest |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LT8MwDLZgOwAHHgPEY4McELeItmn6OKENNg3YA6Ei7TYlbYKQUDtYEX8fp6SAhMSxak5x_fmza_sDOIujFLNjJmgUcEZ96aBLYdSiPnJZZBueqyu5t_EkGD76tzM-swW3pW2rrDGxAuqsSE2N_AJDdRAYbPUvF6_UqEaZv6tWQmMVmmZVFSZfzV5_cv_wnXJhts7-oGwVOgbbsGk5H-l-GWkHVlTegq1aT4FY92rBxq_lgC3o2JECck7szJC5w_r0LnR7z_LFDM-bHfukXi5CCk2muaJI-p4UEXlGko_CPk2lKbqQa1VW_Vf5HiSDfnI1pFYQgS7iqKRSOFo7LBNcoldJpFYZ05GrQ0QtzoUwoknac3QcxMrL3DDlsaOdGEmVFFHKXbYPjbzI1QEQL0zdLPa5NotA8aDkphikBHdTT2ifHUK7vrO5_aiX8x8THP3_-hTWhsl4NB_dTO6OYd0zbSBVo3MbGuXbu-pgHC_liTXWJ3YhnuQ |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LS8NAEB60BdGDj6r4aHUP4m1pks3mcZLWttRXW6RCb2U32S2CJNVG_PvOxo0KgseQPe1kZr6ZfDMfwEUcJVgdM0GjgDPqSwddCrMW9RHLItrwXF3KvT2MguGTfzvjM8t_WllaZRUTy0Cd5onpkbcxVQeBia1-W1taxKQ3uFq-UqMgZf60WjmNdaiHZgtWDerd_mjy-F1-YeXO_kTcMo0MdmHb4j_S-TLYHqyprAE7lbYCsa7WgK1fiwIb0LLjBeSS2Pkhc5_V6X3odJ_lixmkN_v2SbVohOSajDNFEQAuFBFZSqYfuX0aS9OAIT1VlFys7ACmg_70ekitOAJdxlFBpXC0dlgquEQPkwizUqYjV4cYwTgXwggoac_RcRArL3XDhMeOdmIEWFJECXfZIdSyPFNHQLwwcdPY59osBcWDkpvGkBLcTTyhfXYMzerO5vYDX81_zHHy_-tz2EA7ze9vRnensOkZRkjJeW5CrXh7Vy1M6YU8s7b6BGl1oxg |
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=Bibliometric+Analysis+of+One-stage+and+Two-stage+Object+Detection&rft.jtitle=Library+philosophy+and+practice&rft.au=Lohia%2C+Aditya&rft.au=Kadam%2C+Kalyani+Dhananjay&rft.au=Joshi%2C+Rahul+Raghvendra&rft.au=Bongale%2C+Anupkumar+M&rft.date=2021-02-01&rft.pub=Library+Philosophy+and+Practice&rft.eissn=1522-0222&rft.spage=1&rft.epage=32&rft.externalDBID=HAS_PDF_LINK |