# zxhuang1698/interpretability-by-parts

<https://repo.masters-masters.com/en/repos/zxhuang1698/interpretability-by-parts>

[Home](https://repo.masters-masters.com/en) › [zxhuang1698](https://repo.masters-masters.com/en/owners/zxhuang1698) › [interpretability-by-parts](https://repo.masters-masters.com/en/repos/zxhuang1698/interpretability-by-parts)

zxhuang1698/interpretability-by-parts has 132 stars on GitHub. Its RepoMasters card: Prototype tier. Code repository for "Interpretable and Accurate…

| Field | Value |
| --- | --- |
| Owner | [zxhuang1698](https://repo.masters-masters.com/en/owners/zxhuang1698) |
| Stars | 132 |
| Forks | 27 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Topics | cvpr2020, explainable-ai, interpretability, fine-grained-classification, part-based-models, celeba-dataset, cvpr-2020, cvpr-oral, pytorch, pytorch-implementation |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [zxhuang1698/interpretability-by-parts](https://github.com/zxhuang1698/interpretability-by-parts) |

## Repository

Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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