Sim-to-Real Transfer for Object Detection in Aerial Inspections of Transmission Towers

Sim-to-Real Transfer for Object Detection in Aerial Inspections of Transmission Towers

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 to generate synthetic data. For a good generalizati...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Aerial inspection
domain adaptation
object detection
sim-to-real transfer
image-to-image translation
Online Access:https://ieeexplore.ieee.org/document/10273194/

Internet

https://ieeexplore.ieee.org/document/10273194/

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