1610.Deep Learning Prototype Domains for Person Re-Identification-CUHK-SYSU-PRW 論文筆記
基於深度學習原型域感知自適應的行人重識別 DLDP：deep learning model for domain perception selection and reid matching 行人重識別的核心就是一個跨域識別的問題，作者希望建立對攝像機視角魯棒的模型來應用到未知視角的域中，因此，其提出了一種兩步訓練的深度學習方法，從訓練集中發現固有的幾個原型域模式，該方法訓練好的的模型可以根據qu
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相關文章
- 1. 1505.Deep Ranking for Person Re-identification via Joint Representation Learning論文筆記
- 2. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
- 3. 論文筆記《Deep Cosine Metric Learning for Person Re-Identification》
- 4. Wide & Deep Learning for Recommender Systems論文筆記
- 5. 論文筆記：DEEP LEARNING FOR MONAURAL SPEECH SEPARATION
- 6. 【論文筆記】Deep Residual Learning for Image Recognition
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