# mehtadushy/SelecSLS-Pytorch

<https://repo.masters-masters.com/en/repos/mehtadushy/SelecSLS-Pytorch>

[Home](https://repo.masters-masters.com/en) › [mehtadushy](https://repo.masters-masters.com/en/owners/mehtadushy) › [SelecSLS-Pytorch](https://repo.masters-masters.com/en/repos/mehtadushy/SelecSLS-Pytorch)

mehtadushy/SelecSLS-Pytorch has 339 stars on GitHub. Its RepoMasters card: Alpha tier. Reference ImageNet implementation of SelecSLS CNN architecture proposed…

| Field | Value |
| --- | --- |
| Owner | [mehtadushy](https://repo.masters-masters.com/en/owners/mehtadushy) |
| Stars | 339 |
| Forks | 45 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Topics | pytorch-implementation, pytorch, cnn, imagenet, deep-learning, efficient, efficient-architectures, pruning, sparsity, cvpr2019 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [mehtadushy/SelecSLS-Pytorch](https://github.com/mehtadushy/SelecSLS-Pytorch) |

## Repository

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent m…

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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