1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPAW/3RN5HUS |
Repository | sid.inpe.br/sibgrapi/2018/08.27.14.28 |
Last Update | 2018:08.27.14.28.52 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2018/08.27.14.28.52 |
Metadata Last Update | 2022:06.14.00.09.08 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2018.00022 |
Citation Key | Jung:2018:ReGeDe |
Title | Real-Time Gender Detection in the Wild Using Deep Neural Networks |
Format | On-line |
Year | 2018 |
Access Date | 2024, May 02 |
Number of Files | 1 |
Size | 3391 KiB |
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2. Context | |
Author | 1 zeni, luis felipe de araujo 2 Jung, Claudio Rosito |
Affiliation | 1 universidade federal do rio grande do sul 2 universidade federal do rio grande do sul |
Editor | Ross, 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 Address | luis.zeni@inf.ufrgs.br |
Conference Name | Conference on Graphics, Patterns and Images, 31 (SIBGRAPI) |
Conference Location | Foz do Iguaçu, PR, Brazil |
Date | 29 Oct.-1 Nov. 2018 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2018-08-27 14:28:52 :: luis.zeni@inf.ufrgs.br -> administrator :: 2022-06-14 00:09:08 :: administrator -> :: 2018 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | deep learning computer vision gender detection real-time |
Abstract | Gender recognition can be used in many applications, such as video surveillance, human-computer interaction and customized advertisement. Current state-of-the-art gender recognition methods are detector-dependent or region-dependent, focusing mostly on facial features (a face detector is typically required). These limitations do not allow an end-to-end training pipeline, and many features used in the detection phase must be re-learned in the classification step. Furthermore, the use of facial features limits the application of such methods in the wild, where the face might not be present. This paper presents a real-time end-to-end gender detector based on deep neural networks. The proposed method detects and recognizes the gender of persons in the wild, meaning in images with a high variability in pose, illumination an occlusions. To train and evaluate the results a new annotation set of Pascal VOC 2007 and CelebA were created. Our experimental results indicate that combining both datasets during training can increase the mAp of our gender detector. We also visually analyze which parts leads our network to make mistakes and the bias introduced by the training data. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2018 > Real-Time Gender Detection... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Real-Time Gender Detection... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPAW/3RN5HUS |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3RN5HUS |
Language | en |
Target File | 87.pdf |
User Group | luis.zeni@inf.ufrgs.br |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3RPADUS 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2018/09.03.20.37 6 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy 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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