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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3RN65ML
Repositorysid.inpe.br/sibgrapi/2018/08.27.17.27
Last Update2018:08.27.17.27.39 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2018/08.27.17.27.39
Metadata Last Update2022:06.14.00.09.09 (UTC) administrator
DOI10.1109/SIBGRAPI.2018.00023
Citation KeyCunhaMLTQSSP:2018:LaRePa
TitlePatch PlaNet: Landmark Recognition with Patch Classification Using Convolutional Neural Networks
FormatOn-line
Year2018
Access Date2024, Apr. 29
Number of Files1
Size1936 KiB
2. Context
Author1 Cunha, Kelvin Batista
2 Maggi, Lucas
3 Lima, João Paulo
4 Teichrieb, Veronica
5 Quintino, Jonysberg Peixoto
6 da Silva, Fabio Q. B.
7 Santos, Andre L M
8 Pinho, Helder
Affiliation1 Voxar Labs - Centro de Informática - Universidade Federal de Pernambuco
2 Voxar Labs - Centro de Informática - Universidade Federal de Pernambuco
3 Voxar Labs - Centro de Informática - Universidade Federal Rural de Pernambuco
4 Voxar Labs - Centro de Informática - Universidade Federal de Pernambuco
5 Projeto de P&D CIN/Samsung - Universidade Federal de Pernambuco
6 Universidade Federal de Pernambuco
7 Universidade Federal de Pernambuco
8 Samsung Instituto de Desenvolvimento para a Informática
EditorRoss, Arun
Gastal, Eduardo S. L.
Jorge, Joaquim A.
Queiroz, Ricardo L. de
Minetto, Rodrigo
Sarkar, Sudeep
Papa, João Paulo
Oliveira, Manuel M.
Arbeláez, Pablo
Mery, Domingo
Oliveira, Maria Cristina Ferreira de
Spina, Thiago Vallin
Mendes, Caroline Mazetto
Costa, Henrique Sérgio Gutierrez
Mejail, Marta Estela
Geus, Klaus de
Scheer, Sergio
e-Mail Addresskbc@cin.ufpe.br
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
Conference LocationFoz do Iguaçu, PR, Brazil
Date29 Oct.-1 Nov. 2018
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2018-08-27 17:27:39 :: kbc@cin.ufpe.br -> administrator ::
2022-06-14 00:09:09 :: administrator -> :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsLandmark Recognition
Convolutional Neural Network
Image-Patch
AbstractIn this work we address the problem of landmark recognition. We extend PlaNet, a model based on deep neural networks that approaches the problem of landmark recognition as a classification problem and performs the recognition of places around the world. We propose an extension of the PlaNet technique in which we use a voting scheme to perform the classification, dividing the image into previously defined regions and inferring the landmark based on these regions. The prediction of the model depends not only on the information of the features learned by the deep convolutional neural network architecture during training, but also uses local information from each region in the image for which the classification is made. To validate our proposal, we performed the training of the original PlaNet model and our variation using a database built with images from Flickr, and evaluated the models in the Paris and Oxford Buildings datasets. It was possible to notice that the addition of image division and voting structure improves the accuracy result of the model by 5-11 percentage points on average, reducing the level of ambiguity found during the inference of the model.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2018 > Patch PlaNet: Landmark...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Patch PlaNet: Landmark...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 27/08/2018 14:27 1.2 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3RN65ML
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3RN65ML
Languageen
Target FilePatch PlaNet Landmark Recognition with Patch Classification using Convolutional Neural Networks.pdf
User Groupkbc@cin.ufpe.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3RPADUS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2018/09.03.20.37 7
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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