2019 AAAI之ReID：HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identificatio
HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identificatio 本文最大的亮点是将人脸识别中设计的Sphere softmax loss函数迁移到ReID中，即SphereReID。 目前的问题： 目前的方法多采用分类和度量学习相结合的方法来训练模型，以获得具有鉴别性和鲁棒性的特征表示。然而，这种方式
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相关文章
- 1. SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification (note)
- 2. 2018 AAAI之ReID：Hierarchical Discriminative Learning for Visible Thermal Person Re-Identification
- 3. 【ReID】【skimming】SphereReID: Deep Hypersphere Manifold Embedding for Person Re-identification
- 4. 2019 IET之ReID：HPILN: a feature learning framework for cross-modality person re-identification
- 5. 19ArXiv之ReID：Enhancing the Discriminative Feature Learning for Visible-Thermal Cross-Modality Person
- 6. 2019 IEEE Access之ReID: Person Re-Identification Between Visible and Thermal Camera Images Based on
- 7. Modality-aware Collaborative Learning for Visible Thermal Person Re-Identification（7.28 论文笔记）
- 8. 2020 TIFS-ReID:Bi-Directional Center-Constrained Top-Ranking for Visible Thermal Person Re-Identific
- 9. 2019 TCSVT之ReID：SDL: Spectrum-Disentangled Representation Learning for Visible-Infrared Person Re-id
- 10. NormFace: L2 Hypersphere Embedding for Face Verification