Image and Video Technology
Springer International Publishing (Verlag)
978-3-031-26430-6 (ISBN)
A total of 15 papers were carefully reviewed and selected from 18 submissions. The main conference focuses on theoretical advances or practical implementations in image and video technology.
Waste Classification from Digital Images Using ConvNeXt.- A Federated Learning approach for text classification using NLP.- A_Method_for_Face_Image_Inpainting_Based_on_Autoencoder_and_Adversarial_Generative_Networks.- Traffic Sign Recognition from Digital Images by Using Deep Learning.- Youtube Engagement Analytics via Deep Multimodal Hybrid Fusion.- Dynamic Point Cloud Compression with Cross-Sectional Approach.- Event-based visual sensing for human motion detection and classification at various distances.- On Low-Resolution Face Re-identification with High-Resolution-Mapping.- On Skin Lesion Recognition using Deep Learning 50 Ways to Choose Your Model.- Enhancing Automated Baggage Inspection Using Simulated X-ray Images of 3D Models.- A Wasserstein GAN for Joint Learning of Inpainting and Spatial Optimisation Rapid On-site Weed Identification with Machine Learning.- Remote Tiny Weeds Detection.- Combining_Multivision_Embedding_in_Contextual_Attention_for_Vietnamese_Visual_Question_Answering.- Depth Estimation of Traffic Scenes from Image Sequence Using Deep Learning.
Erscheinungsdatum | 29.04.2023 |
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Reihe/Serie | Lecture Notes in Computer Science |
Zusatzinfo | X, 198 p. 76 illus., 70 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 326 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Grafik / Design |
Schlagworte | Deep learning • Image and Video Technology • Imaging and Graphics Hardware and Visualization • machine learning • NLP |
ISBN-10 | 3-031-26430-4 / 3031264304 |
ISBN-13 | 978-3-031-26430-6 / 9783031264306 |
Zustand | Neuware |
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