A new metric for evaluating semantic segmentation: leveraging global and contour accuracy (2018)
- Authors:
- Autor USP: WOLF, DENIS FERNANDO - ICMC
- Unidade: ICMC
- DOI: 10.1109/IVS.2018.8500497
- Subjects: PROCESSAMENTO DE IMAGENS; SISTEMAS INTELIGENTES DE TRANSPORTES; REDES NEURAIS; SEGURANÇA RODOVIÁRIA; ENGENHARIA DE TRÁFEGO; ROBÓTICA; COMPUTAÇÃO MÓVEL
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway, NJ
- Date published: 2018
- Source:
- Título: Proceedings
- ISSN: 1931-0587
- Conference titles: IEEE Intelligent Vehicles Symposium - IV
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
FERNANDEZ-MORAL, Eduardo et al. A new metric for evaluating semantic segmentation: leveraging global and contour accuracy. 2018, Anais.. Piscataway, NJ: IEEE, 2018. Disponível em: https://doi.org/10.1109/IVS.2018.8500497. Acesso em: 14 abr. 2026. -
APA
Fernandez-Moral, E., Martins, R., Wolf, D. F., & Patrick, R. (2018). A new metric for evaluating semantic segmentation: leveraging global and contour accuracy. In Proceedings. Piscataway, NJ: IEEE. doi:10.1109/IVS.2018.8500497 -
NLM
Fernandez-Moral E, Martins R, Wolf DF, Patrick R. A new metric for evaluating semantic segmentation: leveraging global and contour accuracy [Internet]. Proceedings. 2018 ;[citado 2026 abr. 14 ] Available from: https://doi.org/10.1109/IVS.2018.8500497 -
Vancouver
Fernandez-Moral E, Martins R, Wolf DF, Patrick R. A new metric for evaluating semantic segmentation: leveraging global and contour accuracy [Internet]. Proceedings. 2018 ;[citado 2026 abr. 14 ] Available from: https://doi.org/10.1109/IVS.2018.8500497 - A road following approach using artificial neural networks combinations
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