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347-efficient-deweather-mixture-of-experts-with-uncertainty-aware-feature-wise-linear-modulation

https://github.com/szu-advtech-2024/347-efficient-deweather-mixture-of-experts-with-uncertainty-aware-feature-wise-linear-modulation

Science Score: 13.0%

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    CITATION.cff file
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    .zenodo.json file
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    DOI references
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    Scientific vocabulary similarity
    Low similarity (2.5%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: SZU-AdvTech-2024
  • Default Branch: main
  • Size: 0 Bytes
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  • Forks: 0
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Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Citation

https://github.com/SZU-AdvTech-2024/347-Efficient-Deweather-Mixture-of-Experts-with-Uncertainty-Aware-Feature-Wise-Linear-Modulation/blob/main/ 

# 

AllweatherZhangRVSD

## 

```
conda create --name  --file requirements.txt
```

## 

- Allweather: [https://pan.baidu.com/s/1hIeYU_OolKKUBx8N2FUlhA?pwd=lgap](https://pan.baidu.com/s/1hIeYU_OolKKUBx8N2FUlhA?pwd=lgap)
- RVSD: [https://haoyuchen.com/VideoDesnowing#download](https://haoyuchen.com/VideoDesnowing#download)

`configs/dataset_cfg.py``get_dataset_root`

## 


```
bash scripts_allweather_mofme_ours.sh
```

## 

```
bash infer_video.py
```

## 

1. RVSD
2. DynamicTopK
3. infer_video.py
4. [MoFME-Pytorch](https://github.com/RoyZry98/MoFME-Pytorch/tree/main)

Owner

  • Name: SZU-AdvTech-2024
  • Login: SZU-AdvTech-2024
  • Kind: organization

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