Ranked List Loss for Deep Metric Learning

时间 2020-07-04

标签 ranked list loss deep metric learning 繁體版

原文原文链接

CVPR2019 度量学习 Ranked List Loss for Deep Metric Learningweb 原文连接：https://arxiv.org/abs/1903.03238算法度量学习在图像识别、检索等领域有着普遍应用。本文提出了一种新的方法，Ranked List Loss(RLL)。利用该损失函数能够小幅提高网络的准确性。话很少说，直接上图。上图是几种常见的损失函数，最

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1. Ranked List Loss for Deep Metric Learning
2. 【2017_ICCV】Deep Metric Learning with Angular Loss
3. Deep Reinforcement Learning for List-wise Recommendations
4. deep learning loss总结
5. Deep Metric Learning with Hierarchical Triplet Loss 阅读笔记
6. M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning
7. 论文笔记《Deep Cosine Metric Learning for Person Re-Identification》
8. 【论文笔记】Deep Metric Learning via Facility Location
9. Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification
10. 度量学习度量函数 metric learning deep metric learning 深度度量学习

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