Unsupervised Feature Learning via Non-parametric Instance Discrimination
這篇文章是cvpr2018的spotlight。是伯克利、香港中文大學、亞馬遜聯合發表的論文。 論文：Unsupervised Feature Learning via Non-parametric Instance Discrimination. 摘要和介紹中指出，通過對有監督的圖像分類結果的觀察，發現圖像分類的依據不是圖像的語義註釋，而是數據本身的視覺相似性，換句話說，視覺相似性不是從語義註釋
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相關文章
- 1. [解讀] Unsupervised Feature Learning via Non-Parametric Instance Discrimination
- 2. Unsupervised Feature Learning via Non-Parametric Instance Discrimination
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- 4. Effective Feature Learning with Unsupervised Learning in MOOCs
- 5. Query-Oriented Multi-Document Summarization via Unsupervised Deep Learning
- 6. 論文閱讀:Unsupervised Deep Learning by Neighbourhood Discovery
- 7. 《論文閱讀》Unsupervised Person Re-identification via Softened Similarity Learning
- 8. AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
- 9. 【小白筆記】Correlation Tracking via Joint Discrimination and Reliability Learning
- 10. Supervised learning and Unsupervised learning