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pytorch-image-models/modelindex/.templates/models/selecsls.md

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# Summary
**SelecSLS** uses novel selective long and short range skip connections to improve the information flow allowing for a drastically faster network without compromising accuracy.
{% include 'code_snippets.md' %}
## How do I train this model?
You can follow the [timm recipe scripts](https://rwightman.github.io/pytorch-image-models/scripts/) for training a new model afresh.
## Citation
```BibTeX
@article{Mehta_2020,
title={XNect},
volume={39},
ISSN={1557-7368},
url={http://dx.doi.org/10.1145/3386569.3392410},
DOI={10.1145/3386569.3392410},
number={4},
journal={ACM Transactions on Graphics},
publisher={Association for Computing Machinery (ACM)},
author={Mehta, Dushyant and Sotnychenko, Oleksandr and Mueller, Franziska and Xu, Weipeng and Elgharib, Mohamed and Fua, Pascal and Seidel, Hans-Peter and Rhodin, Helge and Pons-Moll, Gerard and Theobalt, Christian},
year={2020},
month={Jul}
}
```
<!--
Models:
- Name: selecsls42b
Metadata:
FLOPs: 3824022528
Training Data:
- ImageNet
Training Techniques:
- Cosine Annealing
- Random Erasing
Architecture:
- Batch Normalization
- Convolution
- Dense Connections
- Dropout
- Global Average Pooling
- ReLU
- SelecSLS Block
File Size: 129948954
Tasks:
- Image Classification
ID: selecsls42b
Crop Pct: '0.875'
Image Size: '224'
Interpolation: bicubic
Code: https://github.com/rwightman/pytorch-image-models/blob/b9843f954b0457af2db4f9dea41a8538f51f5d78/timm/models/selecsls.py#L335
In Collection: SelecSLS
- Name: selecsls60
Metadata:
FLOPs: 4610472600
Training Data:
- ImageNet
Training Techniques:
- Cosine Annealing
- Random Erasing
Architecture:
- Batch Normalization
- Convolution
- Dense Connections
- Dropout
- Global Average Pooling
- ReLU
- SelecSLS Block
File Size: 122839714
Tasks:
- Image Classification
ID: selecsls60
Crop Pct: '0.875'
Image Size: '224'
Interpolation: bicubic
Code: https://github.com/rwightman/pytorch-image-models/blob/b9843f954b0457af2db4f9dea41a8538f51f5d78/timm/models/selecsls.py#L342
In Collection: SelecSLS
- Name: selecsls60b
Metadata:
FLOPs: 4657653144
Training Data:
- ImageNet
Training Techniques:
- Cosine Annealing
- Random Erasing
Architecture:
- Batch Normalization
- Convolution
- Dense Connections
- Dropout
- Global Average Pooling
- ReLU
- SelecSLS Block
File Size: 131252898
Tasks:
- Image Classification
ID: selecsls60b
Crop Pct: '0.875'
Image Size: '224'
Interpolation: bicubic
Code: https://github.com/rwightman/pytorch-image-models/blob/b9843f954b0457af2db4f9dea41a8538f51f5d78/timm/models/selecsls.py#L349
In Collection: SelecSLS
Collections:
- Name: SelecSLS
Paper:
title: 'XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera'
url: https://papperswithcode.com//paper/xnect-real-time-multi-person-3d-human-pose
type: model-index
Type: model-index
-->