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[論文閱讀] Beyond part models: Person retrieval with refined part pooling
時間 2020-12-24
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person reid
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Beyond part models: Person retrieval with refined part pooling Introduction 在行人重識別這個問題上,從人的不同身體部位提取得到的特徵比全局特徵更加精細,這些細粒度的特徵對於行人的判斷往往是更具決定性的。有的方法採用已有的人體姿態估計的方法,識別出人的部位,進而去分別提取特徵。 雖然這樣的行人分割特徵提取方法可行,但是效用並
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相關文章
1.
Beyond Part Models- Person Retrieval with Refined Part Pooling
2.
Beyond Part Models: Person Retrieval with Refined Part Pooling (ECCV2018)
3.
《Beyond Part Models: Person Retrieval with Refined Part Pooling 》PCB論文解讀
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讀論文Beyond Part Models Person Retrieval with Refined Part Pooling
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論文之Beyond Part Models: Person Retrieval with Refined Part Pooling
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Beyond Part Models: Person Retrieval with Refined Part Pooling[論文筆記]
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【Person Re-ID】Beyond Part Models: Person Retrieval with Refined Part Pooling
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Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)
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