论文标题

Pytorch公制学习

PyTorch Metric Learning

论文作者

Musgrave, Kevin, Belongie, Serge, Lim, Ser-Nam

论文摘要

深度度量学习算法具有多种应用,但是实施这些算法可能是乏味且耗时的。 Pytorch指标学习是一个开源库,旨在为研究人员和从业者消除这一障碍。模块化和灵活的设计使用户可以轻松地在其现有代码中尝试不同的算法组合。它还适用于希望快速结果的用户。代码和文档可在https://www.github.com/kevinmusgrave/pytorch-metric-learning上找到。

Deep metric learning algorithms have a wide variety of applications, but implementing these algorithms can be tedious and time consuming. PyTorch Metric Learning is an open source library that aims to remove this barrier for both researchers and practitioners. The modular and flexible design allows users to easily try out different combinations of algorithms in their existing code. It also comes with complete train/test workflows, for users who want results fast. Code and documentation is available at https://www.github.com/KevinMusgrave/pytorch-metric-learning.

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