姿態檢測整理--06-Associative Embedding: End-to-End Learning for Joint Detection and Grouping
Associative Embedding: End-to-End Learning for Joint Detection and Grouping（發表於2017年6月） 是bottom-up方法。這篇文章提出的方法是同時輸出檢測目標和分組，所以是一站式的方法，而且還用在了兩個小領域：多人姿態檢查，目標分割。 這篇論文讀起來非常難懂，不是因爲晦澀，而是因爲作者定位太高。以後寫論文，創新點就是要
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相關文章
- 1. 論文閱讀：Associative Embedding: End-to-End Learning for Joint Detection and Grouping
- 2. 論文翻譯：Associative Embedding:End-to-End Learning for Joint Detection and Grouping
- 3. Joint Embedding Learning and Low-Rank Approximation: A Framework for Incomplete Multiview Learning
- 4. Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning
- 5. 論文筆記之--Joint Detection and Identification Feature Learning for Person Search
- 6. 1604.Joint Detection and Identification Feature Learning for Person Search論文閱讀筆記
- 7. Joint Discriminative and Generative Learning for Person Re-identification
- 8. Mix and Match: Joint Model for Clothing and Attribute Recognition
- 9. 【論文筆記】Embedding of Embedding (EOE) : Joint Embedding for Coupled Heterogeneous Networks
- 10. embedding entities and relations for learning and inference knowledge base