# Confusezius/Revisiting\_Deep\_Metric\_Learning\_PyTorch

<https://repo.masters-masters.com/en/repos/Confusezius/Revisiting_Deep_Metric_Learning_PyTorch>

[Home](https://repo.masters-masters.com/en) › [Confusezius](https://repo.masters-masters.com/en/owners/Confusezius) › [Revisiting\_Deep\_Metric\_Learning\_PyTorch](https://repo.masters-masters.com/en/repos/Confusezius/Revisiting_Deep_Metric_Learning_PyTorch)

Confusezius/Revisiting\_Deep\_Metric\_Learning\_PyTorch has 344 stars on GitHub. Its RepoMasters card: Alpha tier. (ICML 2020) This repo contains code for our…

| Field | Value |
| --- | --- |
| Owner | [Confusezius](https://repo.masters-masters.com/en/owners/Confusezius) |
| Stars | 344 |
| Forks | 50 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | deep-learning, metric-learning, deep-metric-learning, image-retrieval, cub200-2011, cars196, stanford-online-products, wandb, icml2020 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Confusezius/Revisiting\_Deep\_Metric\_Learning\_PyTorch](https://github.com/Confusezius/Revisiting_Deep_Metric_Learning_PyTorch) |

## Repository

(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.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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