Optimisation of Deep Learning Small-Object Detectors with Novel Explainable Verification
In this paper, we present a novel methodology based on machine learning for identifying the most appropriate from a set of available state-of-the-art object detectors for a given application. Our particular interest is to develop a road map for identifying verifiably optimal selections, especially f...
Main Authors: | Elhassan Mohamed, Konstantinos Sirlantzis, Gareth Howells, Sanaul Hoque |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-07-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/15/5596 |
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