Improved Deep Metric Learning with Multi-class N-pair Loss Objective論文N-pair loss解讀與實現
論文：NIPS2016 Improved Deep Metric Learning with Multi-class N-pair Loss Objective 距離度量學習旨在學習在嵌入空間能夠保使得相似數據點靠的近，不相似數據離得遠的一種數據嵌入表達技術。得益於深度學習的迅速發展，深度度量學習受到廣泛關注。相比於標準的距離度量學習，深度學習能夠學習到一種非線性的嵌入表達，這種嵌入表達配合con
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相關文章
- 1. 【2017_ICCV】Deep Metric Learning with Angular Loss
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- 5. 論文閱讀理解 - Deep Metric Learning via Lifted Structured Feature Embedding
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- 7. 【Deep Learning with Python】C2 RELU & Loss & Early stop
- 8. PoseNet2：Geometric loss functions for camera pose regression with deep learning 論文筆記
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- 10. Mutual-Channel Loss 論文解讀