論文閱讀Multiple People Tracking by Lifted Multicut and Person Re-identification
通過Lifted Muliticut和行人重識別進行多行人跟蹤 1. 摘要 多行人跟蹤中，遮擋處理和person re-identification是比較重要的。 本文的創新點： 1、 將multi-persontracking問題看成最小化代價lifted multicut問題。在regular edges的基礎上引入lifted edges。 2、 設計並訓練融合
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相關文章
- 1. CVPR 2017 Multiple People Tracking by Lifted Multicut and Person Re-identification 閱讀筆記
- 2. Paper reading:Multiple People Tracking by Lifted Multicut and Person Re-identification
- 3. Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-identificat...
- 4. 論文閱讀：《POI: Multiple Object Tracking with High Performance Detection and Appearance Feature 》
- 5. 論文閱讀-understanding and diagnosing visual tracking
- 6. 【論文閱讀】Improving Person Re-identification by Attribute and Identity Learning
- 7. 論文筆記Multiple Object Tracking by Flowing and Fusing
- 8. 【論文分享CVPR2020】Multiple Object Tracking by Flowing and Fusing
- 9. 【論文翻譯】Multiple Object Tracking by Flowing and Fusing（CVPR2020）
- 10. [論文閱讀]Learning Discriminative Features with Multiple Granularityfor Person Re-Identification