Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification笔记
这是一篇整整琢磨了快两天，最后在我郭大师的指导下才看懂的论文，话不多说，直接上干货。 传统的 ReID通常来讲会将行人描述为一个单一的特征向量，并且通过特定任务的矩阵空间进行特征向量对比，从而得出相似度。然而这篇文章的作者认为，单一的特征向量并不足以克服一些现实场景中常常出现的视觉障碍。所以这篇文章提出了DuATM（双感知匹配网络）去学习上下文感知特征序列，同步执行序列对比。文章的核心是双感知机制
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相关文章
- 1. A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction阅读笔记
- 2. Dual Attention Network for Scene Segmentation 论文笔记
- 3. Collaborative Attention Network for Person Re-identification
- 4. Dual attention network for scene segmentation
- 5. Dual Co-Matching Network for Multi-choice Reading Comprehension笔记
- 6. DANet: Dual Attention Network for Scene Segmentation
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- 8. 《Dual Attention Networks for Multimodal Reasoning and Matching》
- 9. 论文笔记-双向Attention：A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
- 10. Harmonious Attention Network for Person Re-Identification