Multi-Scale Similarity Aggregation for Dynamic Metric Learning

Author:

Zhang Dingyi1ORCID,Li Yingming1ORCID,Zhang Zhongfei2ORCID

Affiliation:

1. Zhejiang University, Hangzhou, China

2. Binghamton University, Binghamton, USA

Funder

NSFC

Key R&D Program of Zhejiang Province

National Key R&D Program of China

Publisher

ACM

Reference45 articles.

1. Philip Bachman , R Devon Hjelm , and William Buchwalter . 2019 . Learning representations by maximizing mutual information across views . In Advances in Neural Information Processing Systems , Vol. 32 . Philip Bachman, R Devon Hjelm, and William Buchwalter. 2019. Learning representations by maximizing mutual information across views. In Advances in Neural Information Processing Systems, Vol. 32.

2. Wei Bi and James T Kwok . 2011 . Multi-label classification on tree-and dag-structured hierarchies . In Proceedings of the 28th International Conference on Machine Learning (ICML-11) . 17--24. Wei Bi and James T Kwok. 2011. Multi-label classification on tree-and dag-structured hierarchies. In Proceedings of the 28th International Conference on Machine Learning (ICML-11). 17--24.

3. Deep Metric Learning to Rank

4. Emerging Properties in Self-Supervised Vision Transformers

5. Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 . A simple framework for contrastive learning of visual representations . In International Conference on Machine Learning. PMLR, 1597--1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In International Conference on Machine Learning. PMLR, 1597--1607.

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