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Titel:

Performance Limiting Factors of Deep Neural Networks for Pedestrian Detection

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Bayzidi, Yasin; Smajic, Alen; Schneider, Jan David; Hüger, Fabian; Moritz, Ruby; Knoll, Alois C.
Abstract:
Deep Neural Networks (DNNs) for perception in automated driving have been extensively studied, while achieving strong results in detection performance on pre-annotated test sets. However, there has been a gap in the literature on a systematic analysis of DNNs behavior to investigate the factors contributing to their misbehavior. As part of DNNs safety, we propose to both analyze DNNs behavior in challenging scenarios as well as the respective factors that actually contribute to their misbehavior...     »
Kongress- / Buchtitel:
33rd British Machine Vision Conference 2022, BMVC 2022, London, UK, November 21-24, 2022
Datum der Konferenz:
21-24 November 2022
Verlag / Institution:
BMVA Press
Jahr:
2022
WWW:
https://bmvc2022.mpi-inf.mpg.de/883/
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