Knowledge distillation for reduced footprint semantic segmentation with the U-net (2025)
Rosa, Ciro 
; Hirata, Nina Sumiko Tomita
Fonte: Proceedings. Nome do evento: Symposium on Applied Computing - SAC. Unidade: IME
Assuntos: COMPRESSÃO (COMPUTABILIDADE E COMPLEXIDADE), VISÃO COMPUTACIONAL, APRENDIZADO COMPUTACIONAL
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ROSA, Ciro e HIRATA, Nina Sumiko Tomita. Knowledge distillation for reduced footprint semantic segmentation with the U-net. 2025, Anais.. New York: ACM, 2025. Disponível em: https://doi.org/10.1145/3672608.3707773. Acesso em: 08 nov. 2025.APA
Rosa, C., & Hirata, N. S. T. (2025). Knowledge distillation for reduced footprint semantic segmentation with the U-net. In Proceedings. New York: ACM. doi:10.1145/3672608.3707773NLM
Rosa C, Hirata NST. Knowledge distillation for reduced footprint semantic segmentation with the U-net [Internet]. Proceedings. 2025 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1145/3672608.3707773Vancouver
Rosa C, Hirata NST. Knowledge distillation for reduced footprint semantic segmentation with the U-net [Internet]. Proceedings. 2025 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1145/3672608.3707773
