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...

Full description

Saved in:
Bibliographic Details
Published inLibrary philosophy and practice pp. 1 - 32
Main Authors Lohia, Aditya, Kadam, Kalyani Dhananjay, Joshi, Rahul Raghvendra, Bongale, Anupkumar M
Format Journal Article
LanguageEnglish
Published Lincoln Library Philosophy and Practice 01.02.2021
Subjects
Online AccessGet 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