Circle Loss: A Unified Perspective of Pair Similarity Optimization

时间 2020-07-20

标签 circle loss unified perspective pair similarity optimization 繁體版

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Circle Loss: A Unified Perspective of Pair Similarity Optimization Abstract 1. Introduction 2. A Unified Perspective 3. A New Loss Function 3.1. Self-paced Weighting 3.2. Within-class and Between-clas

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1. Circle Loss: A Unified Perspective of Pair Similarity Optimization简要阅读笔记
2. Circle Loss: A Unified Perspective of Pair Similarity Optimization 圆损失函数，统一优化视角，革新深度特征学习范式 CVPR 2020
3. circle loss
4. A review of gradient descent optimization methods
5. 【资源】Machine Learning A Bayesian_and Optimization Perspective(MLBOP)
6. The Lovasz-Softmax loss: A tractable surrogate for the optimization of the ´ intersection-over-union
7. CVPR 2020 Oral 线上分享 | Circle Loss，从统一视角提升深度特征学习能力
8. 直播 | Circle Loss：从对相似性优化的统一视角进行深度特征学习
9. Optimization of Machine Learning
10. CS231n-3-Loss Function & Optimization
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1. Circle Loss: A Unified Perspective of Pair Similarity Optimization简要阅读笔记
2. Circle Loss: A Unified Perspective of Pair Similarity Optimization 圆损失函数，统一优化视角，革新深度特征学习范式 CVPR 2020
3. circle loss
4. A review of gradient descent optimization methods
5. 【资源】Machine Learning A Bayesian_and Optimization Perspective(MLBOP)
6. The Lovasz-Softmax loss: A tractable surrogate for the optimization of the ´ intersection-over-union
7. CVPR 2020 Oral 线上分享 | Circle Loss，从统一视角提升深度特征学习能力
8. 直播 | Circle Loss：从对相似性优化的统一视角进行深度特征学习
9. Optimization of Machine Learning
10. CS231n-3-Loss Function & Optimization

>>更多相关文章<<