Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification
这篇文章2017年月份就挂载了arxiv上面，一作是CMU的学生，文章应该是投CVPR2018被reject了，没有找到作者的homepage，但是二作在github上面released keras的code https://github.com/michuanhaohao/keras_reid。 个人瞎扯：这篇文章我很早就在微信公众号 PaperWeekly上面见过，今天早上忽然想起这篇文章，然
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相关文章
- 1. Deep Learning Based Single Sample Per Person Face Recognition: A Survey
- 2. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
- 3. 【Person Re-ID】Deep-Person: Learning Discriminative Deep Features for Person Re-Identification
- 4. 行人再识别：Beyond triplet loss: a deep quadruplet network for person re-identification
- 5. 2019 IET之ReID：HPILN: a feature learning framework for cross-modality person re-identification
- 6. A Deep Learning-Based System for Vulnerability Detection
- 7. A deep matrix factorization method for learning attribute representations
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- 9. Re-ID: Learning Deep Feature Representation with Domain Guided Dropout for Person Re-identifiation
- 10. CosFace Large Margin Cosine Loss for Deep Face Recognition