論文筆記What-and-where to match: Deep spatially multiplicative integration networks for person re-id
1. Information pattern recognition 2018 Lin Wu, Yang Wang, Xue Li, Junbin Gao 2. Motivation 目前很多re-id方法都是在圖片上先劃分出固定的區域，然後在每個區域上提取特定特徵，最後根據這些特徵，計算出每幅圖片的差異從而得到兩幅或多幅圖片是否是屬於同一個人。這種方法依賴於局部特徵的精細程度，否則無法將正負樣本
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相關文章
- 1. Hard-Aware Point-to-Set Deep Metric for Person Re-identification 論文筆記
- 2. 1606.End--to-End Comparative Attention Networks for Person Re-identification 論文筆記
- 3. 1610.Deep Learning Prototype Domains for Person Re-Identification-CUHK-SYSU-PRW 論文筆記
- 4. 1505.Deep Ranking for Person Re-identification via Joint Representation Learning論文筆記
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- 7. 論文筆記 Pose-driven Deep Convolutional Model for Person Re-identification_tianqi_2017_ICCV
- 8. 論文筆記《Deep Cosine Metric Learning for Person Re-Identification》
- 9. 論文筆記14 --（ReID）Spectral Feature Transformation for Person Re-identification
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