# eliahuhorwitz/3D-ADS

<https://repo.masters-masters.com/en/repos/eliahuhorwitz/3D-ADS>

[Home](https://repo.masters-masters.com/en) › [eliahuhorwitz](https://repo.masters-masters.com/en/owners/eliahuhorwitz) › [3D-ADS](https://repo.masters-masters.com/en/repos/eliahuhorwitz/3D-ADS)

eliahuhorwitz/3D-ADS has 144 stars on GitHub. Its RepoMasters card: Prototype tier. Official Implementation for the "Back to the Feature: Classical 3D…

| Field | Value |
| --- | --- |
| Owner | [eliahuhorwitz](https://repo.masters-masters.com/en/owners/eliahuhorwitz) |
| Stars | 144 |
| Forks | 18 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | anomaly-detection, anomaly-segmentation, machine-learning, unsupervised-learning, point-cloud, mvtec-3d-ad, mvtec-ad, deep-learning, pytorch |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [eliahuhorwitz/3D-ADS](https://github.com/eliahuhorwitz/3D-ADS) |

## Repository

Official Implementation for the "Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection" paper (VAND Workshop - CVPR 2023).

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.