# aayushbansal/PixelNet

<https://repo.masters-masters.com/en/repos/aayushbansal/PixelNet>

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

aayushbansal/PixelNet has 199 stars on GitHub. Its RepoMasters card: Prototype tier. The repository contains source code and models to use PixelNet…

| Field | Value |
| --- | --- |
| Owner | [aayushbansal](https://repo.masters-masters.com/en/owners/aayushbansal) |
| Stars | 199 |
| Forks | 48 |
| Language | [MATLAB](https://repo.masters-masters.com/en/languages/matlab) |
| License | MIT |
| Created | 2017 |
| Topics | deep-learning, pixels, surface-normals, edge-detection, unsupervised-learning, depth-estimation, caffe, semantic-segmentation |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [aayushbansal/PixelNet](https://github.com/aayushbansal/PixelNet) |

## Repository

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at \<http://www.cs.cmu.edu/~aayushb/pixelNet/\>.

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

## More repos by aayushbansal

- [aayushbansal/Recycle-GAN · ★ 412 · Python · Alpha](https://repo.masters-masters.com/en/repos/aayushbansal/Recycle-GAN)

## Nearby in MATLAB

- [aresmiki/CS-Recovery-Algorithms · ★ 199 · MATLAB · Prototype](https://repo.masters-masters.com/en/repos/aresmiki/CS-Recovery-Algorithms)
- [aurooj/Hand-Segmentation-in-the-Wild · ★ 199 · MATLAB · Prototype](https://repo.masters-masters.com/en/repos/aurooj/Hand-Segmentation-in-the-Wild)
- [nlsfi/FGI-GSRx · ★ 199 · MATLAB · Prototype](https://repo.masters-masters.com/en/repos/nlsfi/FGI-GSRx)
- [SwanLab/Swan · ★ 198 · MATLAB · Prototype](https://repo.masters-masters.com/en/repos/SwanLab/Swan)

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