Fine-Grained Image Analysis: Modern Approaches
Seiten
2024
|
2023
Springer International Publishing (Verlag)
978-3-031-31376-9 (ISBN)
Springer International Publishing (Verlag)
978-3-031-31376-9 (ISBN)
- Noch nicht erschienen - erscheint am 26.07.2024
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This book provides a comprehensive overview of the fine-grained image analysis research and modern approaches based on deep learning, spanning the full range of topics needed for designing operational fine-grained image systems. The author begins by providing detailed background information on FGIA, focusing on recognition and retrieval. The author also provides the fundamentals of convolutional neural networks to further make it easier for readers to understand the technical content in the book. The book introduces the main technical paradigms, technological developments, and representative approaches of fine-grained image recognition and fine-grained image retrieval. The author covers multiple popular research topics and includes cross-domain knowledge. The book also highlights advanced applications and topics for future research.
Introduction.- Background.- Benchmark Datasets.- Fine-Grained Image Recognition.- Fine-Grained Image Retrieval.- Resources and Future Work.- Index.
Erscheinungsdatum | 06.07.2024 |
---|---|
Reihe/Serie | Synthesis Lectures on Computer Vision |
Zusatzinfo | XII, 206 p. 90 illus., 86 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 168 x 240 mm |
Themenwelt | Mathematik / Informatik ► Informatik |
Schlagworte | computer vision • Deep learning • Fine-Grained Image Analysis • Fine-grained Image Retrieval • Fine-grained Image Systems • pattern recognition |
ISBN-10 | 3-031-31376-3 / 3031313763 |
ISBN-13 | 978-3-031-31376-9 / 9783031313769 |
Zustand | Neuware |
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