Person Re-Identification by Deep Joint Learning of Multi-Loss Classification——準研究生論文週報
1 標題 Person Re-Identification by Deep Joint Learning of Multi-Loss Classification 來源：IJCAI 2017 日期：7月6日 2 概述 發文當時(2017年)，用特徵提取做REID的學者很多，但這些工作往往僅通過全局(global)特徵或局部(local)特徵實現。全局特徵和局部特徵之間存在一定的互補性，合
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相關文章
- 1. 1705.Person Re-Identification by Deep Joint Learning of Multi-Loss Classification 論文閱讀筆記
- 2. Unsupervised Person Re-identification via Multi-label Classification——準研究生論文週報
- 3. Deep Learning for Person Re-identification: A Survey and Outlook——準研究生論文週報
- 4. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
- 5. 1505.Deep Ranking for Person Re-identification via Joint Representation Learning論文筆記
- 6. AdderNet: Do we really need multiplications in deep learning——準研究生論文週報
- 7. Infrared-Visible Cross-Modal Person Re-Identification with an X Modality——準研究生論文週報
- 8. Sampling Matters in Deep Embdding Learning論文研究
- 9. DeepID2：Deep Learning Face Representation by Joint Identification-Verification
- 10. 【論文筆記】Joint Unsupervised Learning of Deep Representations and Image Clusters