# CompVis/metric-learning-divide-and-conquer

<https://repo.masters-masters.com/en/repos/CompVis/metric-learning-divide-and-conquer>

[Home](https://repo.masters-masters.com/en) › [CompVis](https://repo.masters-masters.com/en/owners/CompVis) › [metric-learning-divide-and-conquer](https://repo.masters-masters.com/en/repos/CompVis/metric-learning-divide-and-conquer)

CompVis/metric-learning-divide-and-conquer has 264 stars on GitHub. Its RepoMasters card: Alpha tier. Source code for the paper "Divide and Conquer the…

| Field | Value |
| --- | --- |
| Owner | [CompVis](https://repo.masters-masters.com/en/owners/CompVis) |
| Stars | 264 |
| Forks | 43 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | LGPL-3.0 |
| Created | 2019 |
| Topics | metric-learning, few-shot-learning, pytorch |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [CompVis/metric-learning-divide-and-conquer](https://github.com/CompVis/metric-learning-divide-and-conquer) |

## Repository

Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019

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

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.