Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-temporal Path Proposals 學習筆記
Abstract and Introduce In this paper, we propose a two-stage framework that incorporates complex spatio-temporal information for effectively regularizing the re-identification results. If a vehicle is
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相關文章
- 1. 【論文筆記】Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-temporal Path Proposals
- 2. Neural Networks and Deep Learning 學習筆記（一）
- 3. Neural networks and deep learning學習筆記 -1
- 4. Neural Networks and Deep Learning -- Class 4: Deep Neural Networks
- 5. Neural Networks and Deep Learning 【編程筆記】
- 6. neural networks and deep learning 筆記（一）
- 7. cousera「Neural NetWorks and Deep learning"讀書筆記
- 8. Neural Networks and Deep Learning -- Class 3: Shallow neural networks
- 9. Neural Networks and Deep Learning
- 10. Paper：Sequence to Sequence Learning with Neural Networks