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

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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Bibliographic Details
Main Authors: Muhammad Ahmed, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
object detection
challenging environments
low light
image enhancement
complex environments
state of the art
Online Access:https://www.mdpi.com/1424-8220/21/15/5116

Internet

https://www.mdpi.com/1424-8220/21/15/5116

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