論文閱讀筆記Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification（上）
該篇文章發表於AAAI 2020，系跨模態行人重識別範疇，是用GAN解決ReID問題的一個新的思路。 論文作者信息爲： 摘要 由於RGB圖像和IR圖像之間的較大模態差異，RGB-Infrared行人重識別很有挑戰性。解決跨模態ReID的關鍵，是學習RGB和IR兩種模態間的對齊特徵。然而由於在每對RGB和IR圖像間缺乏對應標籤，目前的大部分方法都會嘗試利用set-level(集合級別)的對齊來減小模
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相關文章
- 1. 1705.IAN- The Individual Aggregation Network for Person Search 論文閱讀筆記
- 2. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
- 3. 論文閱讀筆記《Attentive Weights Generation for Few Shot Learning via Information Maximization》
- 4. 【論文閱讀筆記】Vision-Based Fallen Person Detection for the Elderly
- 5. 1604.Joint Detection and Identification Feature Learning for Person Search論文閱讀筆記
- 6. 1611.A Discriminatively Learned CNN Embedding for Person Re-identification論文閱讀筆記
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- 8. 論文閱讀 Question Generation
- 9. Deep Reinforcement Learning for Dialogue Generation閱讀筆記
- 10. part-aligned系列論文：1707.Deeply-Learned Part-Aligned Representations for Person Re-Identification 論文筆記