Principles of Catastrophic Forgetting for Continual Semantic Segmentation in Automated Driving

Deep learning excels at extracting complex patterns but faces catastrophic forgetting when fine-tuned on new data. This book investigates how class- and domain-incremental learning affect neural networks for automated driving, identifying semantic shifts and feature changes as key factors. Tools for...

Celý popis

Podrobná bibliografia

Hlavný autor:	Kalb, Tobias Michael
Médium:	E-kniha
Jazyk:	English
Vydavateľské údaje:	KIT Scientific Publishing 2024
Edícia:	Karlsruher Schriften zur Anthropomatik
Predmet:	Automated Driving Automatisiertes Fahren Catastrophic Forgetting Computer science Computing and Information Technology Continual Learning Deep Learning Katastrophales Vergessen Kontinuierliches Lernen Mathematical theory of computation Maths for computer scientists Semantic Segmentation Semantische Segmentierung
ISBN:	3731513730, 9783731513735
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!