Learning Generalisable Omni-Scale Representations for Person Re-Identification

時間 2020-12-26

標籤 OSnet Re-ID 行人重識別 Omni-Scale 欄目 CSS 简体版

原文原文鏈接

Learning Generalisable Omni-Scale Representations for Person Re-Identification Abstract Introduction OSNet網絡結構 OMNI-SCALE NETWORK FOR PERSON RE-ID Depthwise Separable Convolutions Omni-Scale Residual

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4. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
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9. Learning Context Graph for Person Search
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1. 論文解讀：《Learning Generalisable Omni-Scale Representations for Person Re-Identification（OSNet）》
2. 論文閱讀：輕量級reid：Learning Generalisable Omni-Scale Representations for Person Re-Identification
3. Learning Delicate Local Representations for Multi-Person Pose Estimation
4. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
5. ReID簡記-3-3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-id
6. part-aligned系列論文：1707.Deeply-Learned Part-Aligned Representations for Person Re-Identification 論文筆記
7. 【Person Re-ID】Person Re-Identification by Deep Learning Multi-Scale Representations
8. [PersonReID] Part-Aligned Representations for Person Re-Identification
9. Learning Context Graph for Person Search
10. Camera viewpoint learning for person re-identification

>>更多相關文章<<