CN113095229B - 一种无监督域自适应行人重识别***及方法 - Google Patents
一种无监督域自适应行人重识别***及方法 Download PDFInfo
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- CN113095229B CN113095229B CN202110399589.7A CN202110399589A CN113095229B CN 113095229 B CN113095229 B CN 113095229B CN 202110399589 A CN202110399589 A CN 202110399589A CN 113095229 B CN113095229 B CN 113095229B
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- G—PHYSICS
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/103—Static body considered as a whole, e.g. static pedestrian or occupant recognition
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
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- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
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CN115510926B (zh) * | 2022-11-23 | 2023-04-18 | 武汉理工大学 | 跨机型的柴油机燃烧室故障诊断方法及*** |
CN116405651B (zh) * | 2023-06-09 | 2023-08-01 | 中国矿业大学(北京) | 一种多路摄像机跨视域行人数据生成方法和*** |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
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CN111126360A (zh) * | 2019-11-15 | 2020-05-08 | 西安电子科技大学 | 基于无监督联合多损失模型的跨域行人重识别方法 |
CN111401281A (zh) * | 2020-03-23 | 2020-07-10 | 山东师范大学 | 基于深度聚类和样例学习的无监督行人重识别方法及*** |
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US10074041B2 (en) * | 2015-04-17 | 2018-09-11 | Nec Corporation | Fine-grained image classification by exploring bipartite-graph labels |
US11138469B2 (en) * | 2019-01-15 | 2021-10-05 | Naver Corporation | Training and using a convolutional neural network for person re-identification |
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Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
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CN111126360A (zh) * | 2019-11-15 | 2020-05-08 | 西安电子科技大学 | 基于无监督联合多损失模型的跨域行人重识别方法 |
CN111401281A (zh) * | 2020-03-23 | 2020-07-10 | 山东师范大学 | 基于深度聚类和样例学习的无监督行人重识别方法及*** |
Non-Patent Citations (3)
Title |
---|
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification;Zhun Zhong等;2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);598-607 * |
Unsupervised Person Re-Identification Based on Measurement Axis;Jiahan Li等;IEEE SIGNAL PROCESSING LETTERS;第28卷;第379-383页摘要、正文第Ⅱ-Ⅲ节,图1 * |
Unsupervised person re-identification by hierarchical cluster and domain transfer;Suncheng Xiang等;Multimedia Tools and Applications;第79卷;19769-19786 * |
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