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evaluation
models (objects)
development (active)
machine learning
objectives
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http://www.yso.fi/onto/yso/p7413
http://www.yso.fi/onto/yso/p510
http://www.yso.fi/onto/yso/p4230
http://www.yso.fi/onto/yso/p21846
http://www.yso.fi/onto/yso/p2747
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author |
Mäyrä, Ville-Matti
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author2 |
Informaatioteknologian tiedekunta
Faculty of Information Technology
Informaatioteknologia
Information Technology
Jyväskylän yliopisto
University of Jyväskylä
Tietotekniikka
Mathematical Information Technology
602
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author_facet |
Mäyrä, Ville-Matti
Informaatioteknologian tiedekunta
Faculty of Information Technology
Informaatioteknologia
Information Technology
Jyväskylän yliopisto
University of Jyväskylä
Tietotekniikka
Mathematical Information Technology
602
Mäyrä, Ville-Matti
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Mäyrä, Ville-Matti
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Jyväskylän yliopisto
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Informaatioteknologian tiedekunta
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Mäyrä, Ville-Matti
Evaluating the sensitivity of lightweight object detection models against adversarial perturbations
adversarial examples
object detection
sensitivity analysis
vihamielinen esimerkki
herkkyysanalyysi
neuroverkot
syväoppiminen
hahmontunnistus (kognitio)
neural networks (information technology)
deep learning
form recognition (cognition)
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Tietotekniikka
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https://jyu.finna.fi/Cover/Show?source=Solr&id=jyx.123456789_81442&index=0&size=large
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title |
Evaluating the sensitivity of lightweight object detection models against adversarial perturbations
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title_full |
Evaluating the sensitivity of lightweight object detection models against adversarial perturbations
|
title_fullStr |
Evaluating the sensitivity of lightweight object detection models against adversarial perturbations
Evaluating the sensitivity of lightweight object detection models against adversarial perturbations
|
title_full_unstemmed |
Evaluating the sensitivity of lightweight object detection models against adversarial perturbations
Evaluating the sensitivity of lightweight object detection models against adversarial perturbations
|
title_short |
Evaluating the sensitivity of lightweight object detection models against adversarial perturbations
|
title_sort |
evaluating the sensitivity of lightweight object detection models against adversarial perturbations
|
title_txtP |
Evaluating the sensitivity of lightweight object detection models against adversarial perturbations
|
topic |
adversarial examples
object detection
sensitivity analysis
vihamielinen esimerkki
herkkyysanalyysi
neuroverkot
syväoppiminen
hahmontunnistus (kognitio)
neural networks (information technology)
deep learning
form recognition (cognition)
|
topic_facet |
adversarial examples
deep learning
form recognition (cognition)
hahmontunnistus (kognitio)
herkkyysanalyysi
neural networks (information technology)
neuroverkot
object detection
sensitivity analysis
syväoppiminen
vihamielinen esimerkki
|
url |
https://jyx.jyu.fi/handle/123456789/81442
http://www.urn.fi/URN:NBN:fi:jyu-202206033060
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AT mäyrävillematti evaluatingthesensitivityoflightweightobjectdetectionmodelsagainstadversarialpert
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