ICCV2019-行人重识别-Instance-Guided Context Rendering for Cross-Domain Person Re-Identification
动机： 对于跨数据集的re-id问题来说，最大的障碍就是不同数据集分布不同的这个gap，而解决这个问题最直接的办法就是将Source Domain的数据分布强行拉成Target Domain的分布，而这个最容易想到的办法就是GAN。这篇文章的通过GAN，改变Source Domain数据的环境背景，去接近Target Domain。 创新： 这里可能有人会想到，为什么不直接提取Source Dom
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相关文章
- 1. [行人重识别]--ICCV2019-Mixed High-Order Attention Network for Person Re-Identification
- 2. ICCV2019-行人重识别-View Confusion Feature Learning for Person Re-identification
- 3. ICCV2019-行人重识别-Mixed High-Order Attention Network for Person Re-Identification
- 4. Instance-Guided Context Rendering for Cross-Domain Person Re-Identification
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- 8. [行人重识别]--AAAI2020-Relation Network for Person Re-identification
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- 10. 泛读论文：Person-reID 行人重识别合集