| 书目名称 | Fine-Grained Image Analysis: Modern Approaches |
| 编辑 | Xiu-Shen Wei |
| 视频video | |
| 概述 | Provides an essential overview of Fine-Grained Image Analysis that is suitable for students and industry practitioners.Covers the main technical paradigms, technological developments, and representati |
| 丛书名称 | Synthesis Lectures on Computer Vision |
| 图书封面 |  |
| 描述 | 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. |
| 出版日期 | Book 2023 |
| 关键词 | Fine-grained Image Retrieval; Fine-Grained Image Analysis; Fine-grained Image Systems; Computer Vision; |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-31374-5 |
| isbn_softcover | 978-3-031-31376-9 |
| isbn_ebook | 978-3-031-31374-5Series ISSN 2153-1056 Series E-ISSN 2153-1064 |
| issn_series | 2153-1056 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 17:21:03
