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Autor:
Augusto J. Peterlevitz, Mateus A. Chinelatto, Angelo G. Menezes, Cezanne A. M. Motta, Guilherme A. B. Pereira, Gustavo L. Lopes, Gustavo De M. Souza, Juan Rodrigues, Lilian C. Godoy, Mario A. F. F. Koller, Mateus O. Cabral, Nicole E. Alves, Paulo H. Silva, Ricardo Cherobin, Roberto A. O. Yamamoto, Ricardo D. Da Silva
Publikováno v:
IEEE Access, Vol 11, Pp 110312-110327 (2023)
Training deep learning models for object detection usually requires a large amount of data, a condition that is not common for most real-world applications, especially in the context of aerial imagery. One possible solution is the use of simulators t
Externí odkaz:
https://doaj.org/article/27161c47cf514682b2439ae4c99c9819