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Beyond Part Models- Person Retrieval with Refined Part Pooling
時間 2021-01-02
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Motivation 當前利用 part-level feature 做re-id 的方法大致分爲兩類: 1. 利用在其他數據集上訓練好的 pose estimation 模型 unsupervised transfer 到 re-id 數據集上得到 local part 的定位,然後基於local parts 提取 part-level features。 2.不使用額外的類似於 pose es
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相關文章
1.
Beyond Part Models: Person Retrieval with Refined Part Pooling (ECCV2018)
2.
【Person Re-ID】Beyond Part Models: Person Retrieval with Refined Part Pooling
3.
論文之Beyond Part Models: Person Retrieval with Refined Part Pooling
4.
《Beyond Part Models: Person Retrieval with Refined Part Pooling 》PCB論文解讀
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【ReID】Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional...
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[論文閱讀] Beyond part models: Person retrieval with refined part pooling
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