Semi-supervised Online Multi-Task Metric Learning for Visual Recognition and Retrieval-Reference-Cited by-同舟云学术

Semi-supervised Online Multi-Task Metric Learning for Visual Recognition and Retrieval

Published:2020-10-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM International Conference on Multimedia
language:
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Author:

Li Yangxi¹,Hu Han²,Li Jin³,Luo Yong⁴,Wen Yonggang⁵

Affiliation:

1. National Computer network Emergency Response technical Team/Coordination Center of China, Beijing, China

2. Beijing Institute of Technology, Beijing, China

3. Beijing University of Posts and Telecommunications, Beijing, China

4. Nanyang Technological University & Pengcheng Laboratory, Singapore, Singapore

5. Nanyang Technological University, Singapore, Singapore

Funder

the NSFC-general technology collaborative Fund for basic research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3394171.3413948

Reference30 articles.

1. Convex multi-task feature learning

2. Aurélien Bellet Amaury Habrard and Marc Sebban. 2013. A survey on metric learning for feature vectors and structured data. arXiv preprint arXiv:1306.6709 (2013). Aurélien Bellet Amaury Habrard and Marc Sebban. 2013. A survey on metric learning for feature vectors and structured data. arXiv preprint arXiv:1306.6709 (2013).

3. CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval

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