Principles of Catastrophic Forgetting for Continual Semantic Segmentation in Automated Driving

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Karlsruhe, Karlsruher Institut für Technologie (KIT), Dissertation, 2024

Bibliographic citation: Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe ; 66

Keyword: Neuronales Netz
Maschinelles Lernen
Deep Learning
Bildsegmentierung

Event: Veröffentlichung

(where): Karlsruhe

(who): KIT Scientific Publishing

(when): 2024

Creator: Kalb, Tobias Michael

Contributor: Beyerer, Jürgen
Gottschalk, Hanno

DOI: 10.5445/KSP/1000171902

URN: urn:nbn:de:101:1-2410100339260.210465467672

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:23 AM CEST

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Kalb, Tobias Michael
Beyerer, Jürgen
Gottschalk, Hanno
KIT Scientific Publishing

Time of origin

2024

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Principles of Catastrophic Forgetting for Continual Semantic Segmentation in Automated Driving

Enhancing network modularity to mitigate catastrophic forgetting

Model architecture can transform catastrophic forgetting into positive transfer

Sleep-like unsupervised replay reduces catastrophic forgetting in artificial neural networks

SegViT v2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers

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Principles of Catastrophic Forgetting for Continual Semantic Segmentation in Automated Driving

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Other Objects (12)

Principles of Catastrophic Forgetting for Continual Semantic Segmentation in Automated Driving

Enhancing network modularity to mitigate catastrophic forgetting

Model architecture can transform catastrophic forgetting into positive transfer

Sleep-like unsupervised replay reduces catastrophic forgetting in artificial neural networks

SegViT v2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers

Forgetting Dad

Forgetting Dad

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Principles of Catastrophic Forgetting for Continual Semantic Segmentation in Automated Driving

Enhancing network modularity to mitigate catastrophic forgetting

Model architecture can transform catastrophic forgetting into positive transfer

Sleep-like unsupervised replay reduces catastrophic forgetting in artificial neural networks

SegViT v2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers

Forgetting Dad

Forgetting Dad

Forgetting Dad

Forgetting Dad

Forgetting Dad

Forgetting Dad

Forgetting Dad

Principles of Catastrophic Forgetting for Continual Semantic Segmentation in Automated Driving

Enhancing network modularity to mitigate catastrophic forgetting

Model architecture can transform catastrophic forgetting into positive transfer

Sleep-like unsupervised replay reduces catastrophic forgetting in artificial neural networks

SegViT v2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers

Forgetting Dad

Forgetting Dad

Forgetting Dad

Forgetting Dad

Forgetting Dad

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