【论文笔记】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 车辆重识别中基于视觉时空路径方法的深度神经网络 1.摘要 (1)这篇文章提出了一个两级框架，将时空信息融合到re-id结果中。 (2)通过给出一对图片及它们之间的时空信息，候选可视时空路径被链马尔可夫模型的深度学习函数
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相关文章
- 1. Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-temporal Path Proposals 学习笔记
- 2. Learning Convolutional Neural Networks for Graphs论文笔记
- 3. 论文笔记 - Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks
- 4. Deep Neural Networks for Learning Graph Representations论文笔记
- 5. [论文笔记]Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks
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- 9. 【Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huff】论文笔记
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