Fine-Grained Image Analysis: Modern Approaches
Springer International Publishing (Verlag)
978-3-031-31373-8 (ISBN)
Xiu-Shen Wei, Ph.D., is a Professor at the Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, at Nanjing University of Science and Technology's School of Computer Science and Engineering. He received his M.Sc. and Ph.D. degrees from Nanjing University. Dr. Wei previously served as the Founding Director at Megvii Research Nanjing, Megvii Technology. He was also a visiting Scholar at The University of Adelaide. Dr. Wei's research interests include deep convolutional neural networks, long-tailed distribution learning, general object detection, and weakly supervised learning.
Introduction.- Background.- Benchmark Datasets.- Fine-Grained Image Recognition.- Fine-Grained Image Retrieval.- Resources and Future Work.- Index.
| Erscheinungsdatum | 05.07.2023 |
|---|---|
| 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 |
| Gewicht | 538 g |
| 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 | 3-031-31373-9 / 3031313739 |
| ISBN-13 | 978-3-031-31373-8 / 9783031313738 |
| Zustand | Neuware |
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