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2019 AAAI之ReID:HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identificatio
時間 2021-01-07
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ReID
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機器學習
人工智能
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快樂工作
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HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identificatio 本文最大的亮點是將人臉識別中設計的Sphere softmax loss函數遷移到ReID中,即SphereReID。 目前的問題: 目前的方法多采用分類和度量學習相結合的方法來訓練模型,以獲得具有鑑別性和魯棒性的特徵表示。然而,這種方式
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2018 AAAI之ReID:Hierarchical Discriminative Learning for Visible Thermal Person Re-Identification
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相關文章
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 論文筆記)
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
>>更多相關文章<<