# TruongKhang/TopicFM

<https://repo.masters-masters.com/en/repos/TruongKhang/TopicFM>

[Home](https://repo.masters-masters.com/en) › [TruongKhang](https://repo.masters-masters.com/en/owners/TruongKhang) › [TopicFM](https://repo.masters-masters.com/en/repos/TruongKhang/TopicFM)

TruongKhang/TopicFM has 118 stars on GitHub. Its RepoMasters card: Prototype tier. \[AAAI2023\] TopicFM: Robust, Efficient, and Interpretable Topic-Assisted…

| Field | Value |
| --- | --- |
| Owner | [TruongKhang](https://repo.masters-masters.com/en/owners/TruongKhang) |
| Stars | 118 |
| Forks | 6 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2022 |
| Topics | camera-pose-estimation, feature-matching, image-matching, visual-localization |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [TruongKhang/TopicFM](https://github.com/TruongKhang/TopicFM) |

## Repository

\[AAAI2023\] TopicFM: Robust, Efficient, and Interpretable Topic-Assisted Feature Matching

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.