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PoolNet deep feature based person re-identification

Comparisons of model size and complexity. FLOPs: the number of

Comparison of our final model with previous best result on Visual

PDF) Harmonious Attention Network for Person Re-Identification

Comparisons of model size and complexity. FLOPs: the number of

论文阅读笔记（七十一）【CVPR2018】：Harmonious Attention Network for Person Re-Identification - 橙同学的学习笔记- 博客园

Comparisons of model size and complexity. FLOPs: the number of

论文阅读笔记（七十一）【CVPR2018】：Harmonious Attention Network for Person Re-Identification - 橙同学的学习笔记- 博客园

Comparisons of model size and complexity. FLOPs: the number of

Harmonious Attention Network for Person Re-Identification - Home

Comparisons of model size and complexity. FLOPs: the number of

Comparisons of model size and complexity. FLOPs: the number of

Comparisons of model size and complexity. FLOPs: the number of

PoolNet deep feature based person re-identification