Survey and Performance Analysis of Deep Learning Based Object Detection in Challenging Environments

Recent progress in deep learning has led to accurate and efficient generic object detection networks. Training of highly reliable models depends on large datasets with highly textured and rich images. However, in real-world scenarios, the performance of the generic object detection system decreases...

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Detalles Bibliográficos
Autores principales: Ahmed, Muhammad, Hashmi, Khurram Azeem, Pagani, Alain, Liwicki, Marcus, Stricker, Didier, Afzal, Muhammad Zeshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8348086/
https://www.ncbi.nlm.nih.gov/pubmed/34372351
http://dx.doi.org/10.3390/s21155116

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8348086/
https://www.ncbi.nlm.nih.gov/pubmed/34372351
http://dx.doi.org/10.3390/s21155116

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