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Filtros : "semantic segmentation" Limpar

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  • Trabalho de evento

    Self-supervised temporal consistency applied to domain adaptation in semantic segmentation of urban scenes (2023)

    Barbosa, Felipe Manfio ; Osório, Fernando Santos

    Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC

    Subjects: APRENDIZAGEM PROFUNDA, SEMÂNTICA

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      BARBOSA, Felipe Manfio e OSÓRIO, Fernando Santos. Self-supervised temporal consistency applied to domain adaptation in semantic segmentation of urban scenes. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10333056. Acesso em: 03 jan. 2026.

    • APA

      Barbosa, F. M., & Osório, F. S. (2023). Self-supervised temporal consistency applied to domain adaptation in semantic segmentation of urban scenes. In Proceedings. Piscataway: IEEE. doi:10.1109/LARS/SBR/WRE59448.2023.10333056

    • NLM

      Barbosa FM, Osório FS. Self-supervised temporal consistency applied to domain adaptation in semantic segmentation of urban scenes [Internet]. Proceedings. 2023 ;[citado 2026 jan. 03 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10333056

    • Vancouver

      Barbosa FM, Osório FS. Self-supervised temporal consistency applied to domain adaptation in semantic segmentation of urban scenes [Internet]. Proceedings. 2023 ;[citado 2026 jan. 03 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10333056

  • Trabalho de evento

    Domain generalization in medical image segmentation via meta-learners (2022)

    Oliveira, Hugo ; César Júnior, Roberto Marcondes ; Gama, Pedro Henrique Targino ; Santos, Jefersson Alex dos

    Source: Proceedings. Conference titles: Brazilian Symposium on Computer Graphics and Image Processing - SIBGRAPI. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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    • ABNT

      OLIVEIRA, Hugo et al. Domain generalization in medical image segmentation via meta-learners. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/SIBGRAPI55357.2022.9991767. Acesso em: 03 jan. 2026.

    • APA

      Oliveira, H., César Júnior, R. M., Gama, P. H. T., & Santos, J. A. dos. (2022). Domain generalization in medical image segmentation via meta-learners. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI55357.2022.9991767

    • NLM

      Oliveira H, César Júnior RM, Gama PHT, Santos JA dos. Domain generalization in medical image segmentation via meta-learners [Internet]. Proceedings. 2022 ;[citado 2026 jan. 03 ] Available from: https://doi.org/10.1109/SIBGRAPI55357.2022.9991767

    • Vancouver

      Oliveira H, César Júnior RM, Gama PHT, Santos JA dos. Domain generalization in medical image segmentation via meta-learners [Internet]. Proceedings. 2022 ;[citado 2026 jan. 03 ] Available from: https://doi.org/10.1109/SIBGRAPI55357.2022.9991767

  • Artigo de periodico

    Memory-based pruning of deep neural networks for IoT devices applied to flood detection (2021)

    Fernandes Junior, Francisco Erivaldo ; Nonato, Luis Gustavo ; Ranieri, Caetano Mazzoni ; Ueyama, Jó

    Source: Sensors. Unidade: ICMC

    Subjects: ENCHENTES URBANAS, REDES NEURAIS, INTERNET DAS COISAS

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      FERNANDES JUNIOR, Francisco Erivaldo et al. Memory-based pruning of deep neural networks for IoT devices applied to flood detection. Sensors, v. 21, n. 22, p. 1-18, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21227506. Acesso em: 03 jan. 2026.

    • APA

      Fernandes Junior, F. E., Nonato, L. G., Ranieri, C. M., & Ueyama, J. (2021). Memory-based pruning of deep neural networks for IoT devices applied to flood detection. Sensors, 21( 22), 1-18. doi:10.3390/s21227506

    • NLM

      Fernandes Junior FE, Nonato LG, Ranieri CM, Ueyama J. Memory-based pruning of deep neural networks for IoT devices applied to flood detection [Internet]. Sensors. 2021 ; 21( 22): 1-18.[citado 2026 jan. 03 ] Available from: https://doi.org/10.3390/s21227506

    • Vancouver

      Fernandes Junior FE, Nonato LG, Ranieri CM, Ueyama J. Memory-based pruning of deep neural networks for IoT devices applied to flood detection [Internet]. Sensors. 2021 ; 21( 22): 1-18.[citado 2026 jan. 03 ] Available from: https://doi.org/10.3390/s21227506
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