Principles Of Catastrophic Forgetting For Continual Semantic Segmentation In Automated Driving
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Principles of Catastrophic Forgetting for Continual Semantic Segmentation in Automated Driving
Author: Kalb, Tobias Michael
language: en
Publisher: KIT Scientific Publishing
Release Date: 2024-10-21
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 quantitatively measuring forgetting are selected and used to show how strategies like image augmentation, pretraining, and architectural adaptations mitigate catastrophic forgetting.
Trustworthy Distributed Usage Control Enforcement in Heterogeneous Trusted Computing Environments
Author: Wagner, Paul Georg
language: en
Publisher: KIT Scientific Publishing
Release Date: 2025-01-17
Distributed usage control allows to regulate the use of data even after sharing. However, existing solutions are susceptible to manipulation by dishonest data receivers. This work investigates the use of trusted computing to achieve a trustworthy usage control enforcement process. For this, a suitable system architecture and several remote attestation protocols are designed and implemented. The resulting usage control framework is evaluated using a smart manufacturing application scenario.
Advances in Brain Inspired Cognitive Systems
The two-volume set LNAI 15497 and LNAI 15498 constitutes the refereed proceedings of the 14th International Conference on Brain Inspired Cognitive Systems, BICS 2024, held in Hefei, China, during December 6–8, 2024. The 56 full papers presented in these two volumes were carefully reviewed and selected from 124 submissions. These papers deal with various aspects of brain inspired cognitive systems, focusing on latest advancements in brain-inspired computing; artificial intelligence; and cognitive systems.