【論文筆記】Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-temporal Path Proposals
Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-temporal Path Proposals 車輛重識別中基於視覺時空路徑方法的深度神經網絡 1.摘要 (1)這篇文章提出了一個兩級框架，將時空信息融合到re-id結果中。 (2)通過給出一對圖片及它們之間的時空信息，候選可視時空路徑被鏈馬爾可夫模型的深度學習函數
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相關文章
- 1. Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-temporal Path Proposals 學習筆記
- 2. Learning Convolutional Neural Networks for Graphs論文筆記
- 3. 論文筆記 - Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks
- 4. Deep Neural Networks for Learning Graph Representations論文筆記
- 5. [論文筆記]Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks
- 6. 【論文閱讀】【Vehicle ReID】Vehicle Re-identification with Viewpoint-aware Metric Learning
- 7. Machine Learning & Deep Learning 論文閱讀筆記
- 8. Neural Networks and Deep Learning-引論
- 9. 【Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huff】論文筆記
- 10. Neural Networks and Deep Learning 【編程筆記】