1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPEW34M/45EAGM8 |
Repository | sid.inpe.br/sibgrapi/2021/09.15.01.13 |
Last Update | 2021:09.15.01.13.51 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2021/09.15.01.13.52 |
Metadata Last Update | 2022:09.10.00.16.17 (UTC) administrator |
Citation Key | DomênicoLauRibRieJún:2021:EsCoRe |
Title | Um Estudo Comparativo de Redes Convolucionais Profundas para Detecção de Insetos em Imagens |
Format | On-line |
Year | 2021 |
Access Date | 2024, May 04 |
Number of Files | 1 |
Size | 333 KiB |
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2. Context | |
Author | 1 Domênico, Jéssica Regina Di 2 Lau, Douglas 3 Ribeiro, Daniel Delfini 4 Rieder, Rafael 5 Júnior, Telmo De Cesaro |
Affiliation | 1 Instituto Federal de Educação Sul-rio-grandense (IFSul) 2 Embrapa Trigo 3 Instituto Federal de Educação Sul-rio-grandense (IFSul) 4 Universidade de Passo Fundo (UPF) 5 Instituto Federal de Educação Sul-rio-grandense (IFSul) |
Editor | Paiva, Afonso Menotti, David Baranoski, Gladimir V. G. Proença, Hugo Pedro Junior, Antonio Lopes Apolinario Papa, João Paulo Pagliosa, Paulo dos Santos, Thiago Oliveira e Sá, Asla Medeiros da Silveira, Thiago Lopes Trugillo Brazil, Emilio Vital Ponti, Moacir A. Fernandes, Leandro A. F. Avila, Sandra |
e-Mail Address | telmojunior@ifsul.edu.br |
Conference Name | Conference on Graphics, Patterns and Images, 34 (SIBGRAPI) |
Conference Location | Gramado, RS, Brazil (virtual) |
Date | 18-22 Oct. 2021 |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Book Title | Proceedings |
Tertiary Type | Undergraduate Work |
History (UTC) | 2021-09-15 01:13:52 :: telmojunior@ifsul.edu.br -> administrator :: 2022-09-10 00:16:17 :: administrator -> :: 2021 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | yolo mask rcnn cnn cnn aphids |
Abstract | This work presents a comparative study between two deep convolutional network models in tasks of identification and counting of insects in digital images, considering aphids (Hemiptera: Aphididae) and parasitoids (Hymenoptera: Aphelinidae and Braconidae, Aphidiinae). In this case study, each image can contain hundreds of specimens, debris, overlaps, and other insects with similar morphology, making the detection process difficult. In this sense, we compared the results obtained by the InsectCV system, which was based on Mask R-CNN, in terms of training time, inference, and precision, with a new model, trained with the DarkNet network. Using grayscale images with smaller dimensions, processing via GPU, and a one-stage convolutional network, it is possible to reduce the computational cost and increase the precision in the object detection task. Based on the 580 images used to validate the proposed model, it was possible to obtain a mean Average Precision of 79.9\%. |
Arrangement | urlib.net > SDLA > Fonds > SIBGRAPI 2021 > Um Estudo Comparativo... |
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/8JMKD3MGPEW34M/45EAGM8 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPEW34M/45EAGM8 |
Language | pt |
Target File | paper.pdf |
User Group | telmojunior@ifsul.edu.br |
Visibility | shown |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPEW34M/45PQ3RS |
Citing Item List | sid.inpe.br/sibgrapi/2021/11.12.11.46 4 |
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 documentstage doi 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 versiontype volume |
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