RADAM: texture recognition through randomized aggregated encoding of deep activation maps (2023)
Source: Pattern Recognition. Unidade: IFSC
Subjects: REDES COMPLEXAS, REDES NEURAIS, VISÃO COMPUTACIONAL, TEXTURA
ABNT
SCABINI, Leonardo Felipe dos Santos et al. RADAM: texture recognition through randomized aggregated encoding of deep activation maps. Pattern Recognition, v. No 2023, p. 109802-1-109802-13 + supplementary materials, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2023.109802. Acesso em: 27 ago. 2024.APA
Scabini, L. F. dos S., Zielinski, K. M. C., Ribas, L. C., Gonçalves, W. N., Baets, B. D., & Bruno, O. M. (2023). RADAM: texture recognition through randomized aggregated encoding of deep activation maps. Pattern Recognition, No 2023, 109802-1-109802-13 + supplementary materials. doi:10.1016/j.patcog.2023.109802NLM
Scabini LF dos S, Zielinski KMC, Ribas LC, Gonçalves WN, Baets BD, Bruno OM. RADAM: texture recognition through randomized aggregated encoding of deep activation maps [Internet]. Pattern Recognition. 2023 ; No 2023 109802-1-109802-13 + supplementary materials.[citado 2024 ago. 27 ] Available from: https://doi.org/10.1016/j.patcog.2023.109802Vancouver
Scabini LF dos S, Zielinski KMC, Ribas LC, Gonçalves WN, Baets BD, Bruno OM. RADAM: texture recognition through randomized aggregated encoding of deep activation maps [Internet]. Pattern Recognition. 2023 ; No 2023 109802-1-109802-13 + supplementary materials.[citado 2024 ago. 27 ] Available from: https://doi.org/10.1016/j.patcog.2023.109802