| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | sibgrapi.sid.inpe.br | |||
| Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH | |||
| Identifier | 8JMKD3MGPEW34M/45CTDF8 | |||
| Repository | sid.inpe.br/sibgrapi/2021/09.06.14.16 | |||
| Last Update | 2021:09.17.18.11.10 (UTC) administrator | |||
| Metadata Repository | sid.inpe.br/sibgrapi/2021/09.06.14.16.53 | |||
| Metadata Last Update | 2022:09.10.00.16.17 (UTC) administrator | |||
| Citation Key | AyalaMacZanCruFer:2021:EfMuFi | |||
| Title | KutralNext: An Efficient Multi-label Fire and Smoke Image Recognition Model  | |||
| Format | On-line | |||
| Year | 2021 | |||
| Access Date | 2024, May 02 | |||
| Number of Files | 1 | |||
| Size | 496 KiB | |||
| 2. Context | ||||
| Author | 1 Ayala, Angel 2 Macêdo, David 3 Zanchettin, Cleber 4 Cruz, Francisco 5 Fernandes, Bruno | |||
| Affiliation | 1 Escola Politécnica de Pernambuco, Universidade de Pernambuco 2 Centro de Informática, Universidade Federal de Pernambuco 3 Centro de Informática, Universidade Federal de Pernambuco 4 School of Information Technology, Deakin University 5 Escola Politécnica de Pernambuco, Universidade de Pernambuco | |||
| 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 | aaam@ecomp.poli.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 | Master's or Doctoral Work | |||
| History (UTC) | 2021-09-17 18:11:10 :: aaam@ecomp.poli.br -> administrator :: 2021 2022-09-10 00:16:17 :: administrator -> :: 2021 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Keywords | efficient approach fire recogntion smoke recogntion deep learning | |||
| Abstract | Early alert fire and smoke detection systems are crucial for management decision making as daily and security operations. One of the new approaches to the problem is the use of images to perform the detection. Fire and smoke recognition from visual scenes is a demanding task due to the high variance of color and texture. In recent years, several fire-recognition approaches based on deep learning methods have been proposed to overcome this problem. Nevertheless, many developments have been focused on surpassing previous state-of-the-art model's accuracy, regardless of the computational resources needed to execute the model. In this work, is studied the trade-off between accuracy and complexity of the inverted residual block and the octave convolution techniques, which reduces the model's size and computation requirements. The literature suggests that those techniques work well by themselves, and in this research was demonstrated that combined, it achieves a better trade-off. We proposed the KutralNext architecture, an efficient model with reduced number of layers and computacional resources for single- and multi-label fire and smoke recognition tasks. Additionally, a more efficient KutralNext+ model improved with novel techniques, achieved an 84.36% average test accuracy in FireNet, FiSmo, and FiSmoA fire datasets. For the KutralSmoke and FiSmo fire and smoke datasets attained an 81.53\% average test accuracy. Furthermore, state-of-the-art fire and smoke recognition model considered, FireDetection, KutralNext uses 59% fewer parameters, and KutralNext+ requires 97% fewer flops and is 4x faster. | |||
| Arrangement | urlib.net > SDLA > Fonds > SIBGRAPI 2021 > KutralNext: An Efficient... | |||
| 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/45CTDF8 | |||
| zipped data URL | http://urlib.net/zip/8JMKD3MGPEW34M/45CTDF8 | |||
| Language | en | |||
| Target File | kutralnext_CameraReady.pdf | |||
| User Group | aaam@ecomp.poli.br | |||
| Visibility | shown | |||
| 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 | |||
| 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 | |||