Pose-Guided Spatial Alignment and Key Frame Selection for One-Shot Video-Based Person Re-Identification
One-shot video-based person re-identification exploits the unlabeled data by using a single-labeled sample for each individual to train a model and to reduce the need for laborious labeling. Although recent works focusing on this task have made some achievements, most state-of-the-art models are vul...
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| Principais autores: | , , , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
IEEE
2019-01-01
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| 叢編: | IEEE Access |
| 主題: | |
| 在線閱讀: | https://ieeexplore.ieee.org/document/8736229/ |
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