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题目:度量学习及其损失函数的介绍,以及指纹项目的总结和后续
主讲人:后粤杰
地点:工程学院513
时间: 2021年10月14 上午10点
简介:
1)度量学习(Metric Learning)介绍;
2)度量学习的损失函数:Contrastive loss, triplet loss介绍;
3)对比学习、度量学习与CCAE指纹项目的关联;
4)讨论指纹项目目前进展,以及后续的工作;
5)分享搜索主流刊物期刊的小技巧。
参考文献:
[1] Hadsell, Raia, Sumit Chopra, and Yann LeCun. "Dimensionality reduction by learning an invariant mapping." 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06). Vol. 2. IEEE, 2006.
[2] Schroff, Florian, Dmitry Kalenichenko, and James Philbin. "Facenet: A unified embedding for face recognition and clustering." Proceedings of the IEEE conference on computer vision and pattern recognition. 2015.
[3] https://zhuanlan.zhihu.com/p/82199561?from_voters_page=true 深度度量学习中的损失函数
[4] https://blog.csdn.net/jningwei/article/details/80641184 Metric Learning
[5] https://zhuanlan.zhihu.com/p/348998459 度量学习/对比学习
[6] https://www.cnblogs.com/gaowenxingxing/p/14860451.html 度量学习/对比学习
[7] https://blog.csdn.net/u011984148/article/details/106233313/ SimCLR
[8] https://journalfinder.elsevier.com/ Journal finder
[9] https://www.edanz.com/journal-selector Edanz Journal Selector
[10] https://journalsuggester.springer.com/ Springer journal suggester
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