NCNet: Neighbourhood Consensus Networks for Estimating Image Correspondences
Uloženo v:
| Vydáno v: | IEEE Transactions on Pattern Analysis and Machine Intelligence Ročník 44; s. 1020 - 1034 |
|---|---|
| Hlavní autoři: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | japonština |
| Vydáno: |
Institute of Electrical and Electronics Engineers (IEEE)
01.02.2022
|
| Témata: | |
| ISSN: | 0162-8828, 1939-3539 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Author | Relja Arandjelovic Akihiko Torii Josef Sivic Ignacio Rocco Tomas Pajdla Mircea Cimpoi |
|---|---|
| Author_xml | – sequence: 1 fullname: Ignacio Rocco – sequence: 2 orcidid: 0000-0002-5624-7593 fullname: Mircea Cimpoi – sequence: 3 fullname: Relja Arandjelovic – sequence: 4 fullname: Akihiko Torii – sequence: 5 fullname: Tomas Pajdla – sequence: 6 fullname: Josef Sivic |
| BackLink | https://cir.nii.ac.jp/crid/1872835442444219392$$DView record in CiNii |
| BookMark | eNotTz1PwzAUtFCRCKV_gCkDa4o_Y5sNRQUqRWHpjuz4OTUQu4pT8fdJBcPd051Op3e3aBVTBITuCd4SgvXjfDJj2FJM8ZZhUktCrlBBNNMVE0yvULGYtFKKqhu0yTlYTCRTXBNZoLZrOpifyg7CcLTpPB1TcmWTYoaYz3nx5580feXSp6nc5TmMZg5xKPejGWDJTRPkU4oOYg_5Dl17851h83_X6PCyOzRvVfv-um-e2-pTC1oJQwnTFDxjvZcGW6qcXt5R3lruOMd6UU5pJYUTIATDnnrN-9rWlgOWbI0e_mpjCB99uDBRkiomOKd8wWU7Zb9HIVEa |
| ContentType | Journal Article |
| Contributor | DeepMind [London] ; DeepMind Technologies This work was partially supported by JSPS KAKENHI Grant Numbers 15H05313, 16KK0002, EU-H2020 project LADIO No. 731970, ERCgrant LEAP No. 336845, CIFAR Learning in Machines & Brains program and the European Regional Development Fund under the project IMPACT (reg. no. CZ.02.1.01/0.0/0.0/15 003/0000468), and the French government under management of Agence Nationale de la Recherche as part of the "Investissements d'avenir" program, reference ANR-19-P3IA-0001 (PRAIRIE 3IA Institute). We gratefully acknowledge the support of NVIDIA Corporation with the donation of Quadro P6000 GPU Models of visual object recognition and scene understanding (WILLOW) ; Inria de Paris ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Département d'informatique - ENS Paris (DI-ENS) ; Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informa |
| Contributor_xml | – sequence: 1 fullname: Département d'informatique - ENS Paris (DI-ENS) ; École normale supérieure - Paris (ENS-PSL) ; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS) – sequence: 2 fullname: Models of visual object recognition and scene understanding (WILLOW) ; Département d'informatique - ENS Paris (DI-ENS) ; École normale supérieure - Paris (ENS-PSL) ; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL) ; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Inria de Paris ; Institut National de Recherche en Informatique et en Automatique (Inria) – sequence: 3 fullname: Czech Institute of Informatics, Robotics and Cybernetics [Prague] (CIIRC) ; Czech Technical University in Prague (CTU) – sequence: 4 fullname: DeepMind [London] ; DeepMind Technologies – sequence: 5 fullname: Tokyo Institute of Technology [Tokyo] (TITECH) – sequence: 6 fullname: This work was partially supported by JSPS KAKENHI Grant Numbers 15H05313, 16KK0002, EU-H2020 project LADIO No. 731970, ERCgrant LEAP No. 336845, CIFAR Learning in Machines & Brains program and the European Regional Development Fund under the project IMPACT (reg. no. CZ.02.1.01/0.0/0.0/15 003/0000468), and the French government under management of Agence Nationale de la Recherche as part of the "Investissements d'avenir" program, reference ANR-19-P3IA-0001 (PRAIRIE 3IA Institute). We gratefully acknowledge the support of NVIDIA Corporation with the donation of Quadro P6000 GPU – sequence: 7 fullname: ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE – sequence: 8 fullname: European Project: 336845,EC:FP7:ERC,ERC-2013-StG,LEAP – sequence: 9 fullname: Département d'informatique - ENS Paris (DI-ENS) ; Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Paris (ENS Paris) ; Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL) – sequence: 10 fullname: Models of visual object recognition and scene understanding (WILLOW) ; Inria de Paris ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Département d'informatique - ENS Paris (DI-ENS) ; Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Paris (ENS Paris) ; Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris) ; Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL) – sequence: 11 fullname: DeepMind ; DeepMind Technologies – sequence: 12 fullname: Département d'informatique de l'École normale supérieure (DI-ENS) ; École normale supérieure - Paris (ENS Paris) ; Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS) – sequence: 13 fullname: Models of visual object recognition and scene understanding (WILLOW) ; Inria de Paris ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Département d'informatique de l'École normale supérieure (DI-ENS) ; École normale supérieure - Paris (ENS Paris) ; Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris) ; Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS) – sequence: 14 fullname: Czech Institute of Informatics, Robotics and Cybernetics (CIIRC) ; Czech Technical University in Prague (CTU) – sequence: 15 fullname: This work was partially supported by JSPS KAKENHI Grant Numbers 15H05313, 16KK0002, EU-H2020 project LADIO No. 731970, ERC grant LEAP No. 336845, CIFAR Learning in Machines & Brains program and the European Regional Development Fund under the project IMPACT(reg. no. CZ.02.1.01/0.0/0.0/15 003/0000468). We gratefully acknowledge the support of NVIDIA Corporation with the donation of Quadro P6000 GPU – sequence: 16 fullname: Département d'informatique - ENS Paris (DI-ENS) ; École normale supérieure - Paris (ENS-PSL) ; Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS) – sequence: 17 fullname: Models of visual object recognition and scene understanding (WILLOW) ; Département d'informatique - ENS Paris (DI-ENS) ; École normale supérieure - Paris (ENS-PSL) ; Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL) ; Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Inria de Paris ; Institut National de Recherche en Informatique et en Automatique (Inria) |
| DBID | RYH |
| DOI | 10.1109/tpami.2020.3016711 |
| DatabaseName | CiNii Complete |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Computer Science |
| EISSN | 1939-3539 |
| EndPage | 1034 |
| GroupedDBID | --- -DZ -~X .DC 0R~ 29I 4.4 53G 5GY 6IK 97E AAJGR AASAJ AAWTH ABAZT ABQJQ ABVLG ACGFO ACGFS ACIWK ACNCT AENEX AGQYO AHBIQ AKJIK AKQYR ALMA_UNASSIGNED_HOLDINGS ASUFR ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CS3 DU5 E.L EBS EJD F5P HZ~ IEDLZ IFIPE IPLJI JAVBF LAI M43 MS~ O9- OCL P2P PQQKQ RIA RIE RNS RXW RYH TAE TN5 UHB ~02 |
| ID | FETCH-LOGICAL-j952-5a21392ef33cf7a0b28d98498fbb4d4409984d89875d5e5530f2f94c6b6b4e073 |
| ISSN | 0162-8828 |
| IngestDate | Mon Nov 10 09:09:42 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Language | Japanese |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-j952-5a21392ef33cf7a0b28d98498fbb4d4409984d89875d5e5530f2f94c6b6b4e073 |
| ORCID | 0000-0002-5624-7593 |
| OpenAccessLink | https://cir.nii.ac.jp/crid/1872835442444219392 |
| PageCount | 15 |
| ParticipantIDs | nii_cinii_1872835442444219392 |
| PublicationCentury | 2000 |
| PublicationDate | 2022-02-01 |
| PublicationDateYYYYMMDD | 2022-02-01 |
| PublicationDate_xml | – month: 02 year: 2022 text: 2022-02-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationTitle | IEEE Transactions on Pattern Analysis and Machine Intelligence |
| PublicationYear | 2022 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Publisher_xml | – name: Institute of Electrical and Electronics Engineers (IEEE) |
| SSID | ssib017384917 ssib006543658 ssib016644684 ssib053393923 ssib006543657 ssib012866470 ssib004836755 ssib008799134 ssj0014503 ssib045030414 |
| Score | 2.5114014 |
| SourceID | nii |
| SourceType | Publisher |
| StartPage | 1020 |
| SubjectTerms | [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] category-level matching Geometric matching image alignment Neighbourhood consensus Nighbourhood consensus |
| Title | NCNet: Neighbourhood Consensus Networks for Estimating Image Correspondences |
| URI | https://cir.nii.ac.jp/crid/1872835442444219392 |
| Volume | 44 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVIEE databaseName: IEEE Electronic Library (IEL) customDbUrl: eissn: 1939-3539 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0014503 issn: 0162-8828 databaseCode: RIE dateStart: 19790101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lj9MwELaqhQMceCwgXoty4BYFEsdJbG6rqogDilaoh72hxHbA3W5StaXaX8VvZMZO4pQ9AAcuUZ22qez5Op4Zz3xDyFtZM1aBWxFxlTQRqysR1bmSEaWNkKKAr6nYNpsoypJfXoqL2eznUAtzWBdty29uxOa_ihrugbCxdPYfxD0-FG7AaxA6XEHscP0rwZfzUtt4X4lRTwxaWuZi7MyJbS1Qr9nMb0vEEC7gL45GK-YNXGP-zty269h0rW02upsar-gYOjZ0Vw1hTxouLEFn69lNXOYGpmjqvkjFEX6OIPzWVtJ04ZdOym6Ut9lKXYVzc73pzHgIpNerKjyHH1Qrve4ORo7wvDLfzVUXLrutMdPABfi88VESyFEyxML2_Bn5ERZjC6DdyMtog9A40SFE0gdEc9DovC8w106Ji1REaeZIkgYtz9hETYNVFU-2_CR2AdXb24llY91vsBcTTCF-l2LVBpaS36FFJrirF_T6j6fgf3n9iHW701NlN_b6jhcCEx-GMZgKec68_kxgxHJfR5wUKWcT95pleK7tT8HBcoeZe0skwQ84bnu3RkPRWCze354TGFetMRPjavmIPOi9ouDcofkxma2qU_Jw6DgS9BvQKbk_oc98Qj5bqH8IjoAejEAPBqAHAPTAAz2wQA9-A_pTsvy4WM4_RX13kGglMhplFQXnheomTWVTVHFNuRKwPLypa6YYA8-HM8UF-OMq09gcqwH1w2Re5zXTsLE9Iydt1-rnJMhcObfScaVYolOR1BXNGlUooXid6RfkDFbmqzR4TXiBFIUMC0QZRajRl394_xW55_H_mpzstz_0GbkrD3uz276xEPoFGCaTlA |
| linkProvider | IEEE |
| 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=NCNet%3A+Neighbourhood+Consensus+Networks+for+Estimating+Image+Correspondences&rft.jtitle=IEEE+Transactions+on+Pattern+Analysis+and+Machine+Intelligence&rft.au=Ignacio+Rocco&rft.au=Mircea+Cimpoi&rft.au=Relja+Arandjelovic&rft.au=Akihiko+Torii&rft.date=2022-02-01&rft.pub=Institute+of+Electrical+and+Electronics+Engineers+%28IEEE%29&rft.issn=0162-8828&rft.eissn=1939-3539&rft.volume=44&rft.spage=1020&rft.epage=1034&rft_id=info:doi/10.1109%2Ftpami.2020.3016711 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0162-8828&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0162-8828&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0162-8828&client=summon |