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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPEW34M/47JR2EL
Repositorysid.inpe.br/sibgrapi/2022/09.10.02.27
Last Update2022:09.26.18.26.18 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2022/09.10.02.27.09
Metadata Last Update2023:05.23.04.20.42 (UTC) administrator
DOI10.1109/SIBGRAPI55357.2022.9991760
Citation KeyFontinelePeteOliv:2022:BoLeBe
TitleNo boundary left behind in semantic segmentation
Short TitleNo boundary left behind
FormatOn-line
Year2022
Access Date2025, Feb. 05
Number of Files2
Size4117 KiB
2. Context
Author1 Fontinele, Jefferson
2 Peters, Bernardo
3 Oliveira, Luciano
Affiliation1 Universidade Federal do Maranhão
2 Ivisionlab, Universidade Federal da Bahia
3 Ivisionlab, Universidade Federal da Bahia
e-Mail Addresslrebouca@ufba.br
Conference NameConference on Graphics, Patterns and Images, 35 (SIBGRAPI)
Conference LocationNatal, RN
Date24-27 Oct. 2022
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2022-09-26 18:26:19 :: lrebouca@ufba.br -> administrator :: 2022
2023-05-23 04:20:42 :: administrator -> :: 2022
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordssemantic segmentation
boundary
deep learning
AbstractThis paper proposes a novel network architecture for image semantic segmentation based on attention mechanisms placed on specific points inside a convolutional neural network. Attention is explored across our network to integrate information from object boundary and a baseline semantic segmenter (inner segmentation). We call our novel network Attention-fitted Fusion of boundary and Inner Segmentation (AFIS), which combines the two streams through a set of attention gates, forming an end-to-end network. We performed an extensive evaluation of our method over four public challenging data sets (Cityscapes, CamVid, Pascal Context, and Mapillary Vistas), finding supe- rior results when compared with other twelve state-of-the-art segmenters, considering the same training conditions.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2022 > No boundary left behind
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPEW34M/47JR2EL
zipped data URLhttp://urlib.net/zip/8JMKD3MGPEW34M/47JR2EL
Languageen
Target Filefontinele-37.pdf
User Grouplrebouca@ufba.br
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/495MHJ8
Citing Item Listsid.inpe.br/sibgrapi/2023/05.19.12.10 39
sid.inpe.br/sibgrapi/2022/06.10.21.49 3
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition editor electronicmailaddress group holdercode isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session sponsor subject tertiarymark type url versiontype volume


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