Deep learning theory and applications First International Conference, DeLTA 2020, Virtual Event, July 8-10, 2020, and Second International Conference, DeLTA 2021, Virtual Event, July 7-9, 2021, revised selected papers
Alternative Data Augmentation for Industrial Monitoring using Adversarial Learning.- Multi-stage Conditional GAN Architectures for Person-image Generation.- Evaluating Deep Learning Models for the Automatic Inspection of Collective Protective Equipment.- Intercategorical Label Interpolation for Emot...
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Weitere Verfasser: | , , |
Format: | UnknownFormat |
Sprache: | eng |
Veröffentlicht: |
Cham
Springer
2023
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Schriftenreihe: | Communications in computer and information science
1854 |
Schlagworte: |
Artificial intelligence
> COMPUTERS / Artificial Intelligence
> COMPUTERS / Data Processing / General
> COMPUTERS / Hardware / Network Hardware
> COMPUTERS / Information Technology
> Künstliche Intelligenz
> Mathematical theory of computation
> Mathematik für Informatiker
> Network hardware
> Netzwerk-Hardware
> Systemanalyse und -design
> Systems analysis & design
> Konferenzschrift
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Online Zugang: | Cover Inhaltsverzeichnis |
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Zusammenfassung: | Alternative Data Augmentation for Industrial Monitoring using Adversarial Learning.- Multi-stage Conditional GAN Architectures for Person-image Generation.- Evaluating Deep Learning Models for the Automatic Inspection of Collective Protective Equipment.- Intercategorical Label Interpolation for Emotional Face Generation with Conditional Generative Adversarial Networks.- Forecasting the UN Sustainable Development Goals.- Disrupting Active Directory Attacks with Deep Learning for Organic Honeyuser Placement.- Crack Detection on Brick Walls by Convolutional Neural Networks using the Methods of Sub-Dataset Generation and Matching. This book constitutes the refereed post-proceedings of the First International Conference and Second International Conference on Deep Learning Theory and Applications, DeLTA 2020 and DeLTA 2021, was held virtually due to the COVID-19 crisis on July 8-10, 2020 and July 7-9, 2021. The 7 full papers included in this book were carefully reviewed and selected from 58 submissions. They present recent research on machine learning and artificial intelligence in real-world applications such as computer vision, information retrieval and summarization from structuredand unstructured multimodal data sources, natural language understanding andtranslation, and many other application domains |
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Beschreibung: | x, 150 Seiten Illustrationen, Diagramme |
ISBN: | 9783031373190 978-3-031-37319-0 |