| 書目名稱 | Person Re-Identification with Limited Supervision |
| 編輯 | Rameswar Panda,Amit K. Roy-Chowdhury |
| 視頻video | http://file.papertrans.cn/745/744306/744306.mp4 |
| 叢書名稱 | Synthesis Lectures on Computer Vision |
| 圖書封面 |  |
| 描述 | Person re-identification is the problem of associating observations of targets in different non-overlapping cameras. Most of the existing learning-based methods have resulted in improved performance on standard re-identification benchmarks, but at the cost of time-consuming and tediously labeled data. Motivated by this, learning person re-identification models with limited to no supervision has drawn a great deal of attention in recent years..In this book, we provide an overview of some of the literature in person re-identification, and then move on to focus on some specific problems in the context of person re-identification with limited supervision in multi-camera environments. We expect this to lead to interesting problems for researchers to consider in the future, beyond the conventional fully supervised setup that has been the framework for a lot of work in person re-identification..Chapter 1 starts with an overview of the problems in person re-identification and the major research directions. We provide an overview of the prior works that align most closely with the limited supervision theme of this book. Chapter 2 demonstrates how global camera network constraints in the for |
| 出版日期 | Book 2021 |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-01825-1 |
| isbn_softcover | 978-3-031-00697-5 |
| isbn_ebook | 978-3-031-01825-1Series ISSN 2153-1056 Series E-ISSN 2153-1064 |
| issn_series | 2153-1056 |
| copyright | Springer Nature Switzerland AG 2021 |
|Archiver|手機(jī)版|小黑屋|
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