A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning

Kirchhof, Michael; Roth, Karsten; Akata, Zeynep; Kasneci, Enkelejda

doi:10.1007/978-3-031-19809-0_25

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Conference Paper

A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning

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Akata, Zeynep
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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https://doi.org/10.1007/978-3-031-19809-0_25
(Publisher version)

https://doi.org/10.48550/arXiv.2207.03784
(Preprint)

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Kirchhof, M., Roth, K., Akata, Z., & Kasneci, E. (2022). A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning. In S. Avidan, G. Brostow, M. Cissé, G. M. Farinella, & T. Hassner (Eds.), Computer Vision – ECCV 2022 (pp. 435-454). Cham: Springer. doi:10.1007/978-3-031-19809-0_25.

Cite as: https://hdl.handle.net/21.11116/0000-0010-2EF4-8

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