# recasens/Saliency-Sampler

<https://repo.masters-masters.com/en/repos/recasens/Saliency-Sampler>

[Home](https://repo.masters-masters.com/en) › [recasens](https://repo.masters-masters.com/en/owners/recasens) › [Saliency-Sampler](https://repo.masters-masters.com/en/repos/recasens/Saliency-Sampler)

recasens/Saliency-Sampler has 167 stars on GitHub. Its RepoMasters card: Prototype tier. The saliency-based is a distortion layer for convolutional neural…

| Field | Value |
| --- | --- |
| Owner | [recasens](https://repo.masters-masters.com/en/owners/recasens) |
| Stars | 167 |
| Forks | 23 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [recasens/Saliency-Sampler](https://github.com/recasens/Saliency-Sampler) |

## Repository

The saliency-based is a distortion layer for convolutional neural networks that helps to improve the spatial sampling of input data for a given task.

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.