# MECLabTUDA/M3d-Cam

<https://repo.masters-masters.com/en/repos/MECLabTUDA/M3d-Cam>

[Home](https://repo.masters-masters.com/en) › [MECLabTUDA](https://repo.masters-masters.com/en/owners/MECLabTUDA) › [M3d-Cam](https://repo.masters-masters.com/en/repos/MECLabTUDA/M3d-Cam)

MECLabTUDA/M3d-Cam has 333 stars on GitHub. Its RepoMasters card: Alpha tier. Generation of 3D/ 2D attention maps for both classification and segmentation

| Field | Value |
| --- | --- |
| Owner | [MECLabTUDA](https://repo.masters-masters.com/en/owners/MECLabTUDA) |
| Stars | 333 |
| Forks | 42 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | attention-maps, deep-learning, grad-cam, grad-cam-visualization, guided-backpropagation, pytorch |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [MECLabTUDA/M3d-Cam](https://github.com/MECLabTUDA/M3d-Cam) |

## Repository

Generation of 3D/ 2D attention maps for both classification and segmentation

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.
