Unsupervised Person Re-identification: Clustering and Fine-tuning
1、介紹 基於全監督的行人重識別問題取得了很大的進展。但是基於無監督的行人重識別問題的進展則相對緩慢。現有研究主要集中在人工提取特徵然後使用無監督方法分類上，針對的數據集規模也比較小。作者提出了一個PUL(PROGRESSIVE UNSUPERVISED LEARNING)的方法，率先把深度學習框架應用到大規模數據集無監督行人重識別問題上。 2、作者的方法 作者將他的方法命名爲PUL(PROGRE
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相關文章
- 1. Unsupervised Person Re-identification: Clustering and Fine-tuning
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