【ReID】【skimming】Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in
补一下2017年的ICCV paper，Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro。文章首次将GAN（DCGAN）引入ReID任务中，提出了一个不需要额外搜集data，而只依靠training data，以GAN生成无标签的数据，且提出了label smoothi
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- 1. ICCV2017: Unlabeled Samples Generated by GAN Improve the Person Re-Identification Baseline in Vitro
- 2. Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro 论文阅读
- 3. Multi-pseudo Regularized Label for Generated Samples in Person Re-Identification（多伪正则化标签(MpRL)、GAN）
- 4. 【ReID】【Skimming】Unity Style Transfer for Person Re-Identification
- 5. 【ReID】Strong Baseline
- 6. 【ReID】【Skimming】Unsupervised Cross-Dataset Transfer Learning for Person Re-identification
- 7. 行人重识别(ReID)开源代码
- 8. NVIDIA新作解读：用GAN生成高质量行人图像，辅助行人重识别
- 9. REID介绍（初探）-REID Baseline
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相关文章
- 1. ICCV2017: Unlabeled Samples Generated by GAN Improve the Person Re-Identification Baseline in Vitro
- 2. Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro 论文阅读
- 3. Multi-pseudo Regularized Label for Generated Samples in Person Re-Identification（多伪正则化标签(MpRL)、GAN）
- 4. 【ReID】【Skimming】Unity Style Transfer for Person Re-Identification
- 5. 【ReID】Strong Baseline
- 6. 【ReID】【Skimming】Unsupervised Cross-Dataset Transfer Learning for Person Re-identification
- 7. 行人重识别(ReID)开源代码
- 8. NVIDIA新作解读：用GAN生成高质量行人图像，辅助行人重识别
- 9. REID介绍（初探）-REID Baseline
- 10. 【ReID】Bag of Tricks and A Strong Baseline for Deep Person Re-identification