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(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.
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34
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Merge branch 'master' of https://github.com/Confusezius/pytorch_deep_metric_learning_research
3339090View on GitHubFixed issue in arcface.py with margin-adjusted similarities not accounted for correctly.
703d189View on GitHubFixed some criteria formatting and missing flags in multisimilarity.py
dd154ebView on GitHubIncluded evaluation metrics based on cosine similarities - see metrics folder and README.md
8ec13c1View on GitHubAdded handles for all implemented methods at the bottom of the README.
4df1292View on GitHubUpdated the readme to include more information regarding loggable metrics.
b14bf76View on GitHubminor adjustments to mAP.py and mAP_lim.py to account for the --evaluate_on_gpu option
8d5101fView on GitHubAdded mAP_lim.py which is mAP but limited to a max. k of 1023
01cb68eView on GitHub