ThiNet

KO | EN

gitlite — search

#javascript #hacktoberfest #typescript #rust #macos #nodejs #java #windows #cli #kubernetes #awesome-list #security #pytorch #open-source

(★ 149)

caffe model of ICCV'17 paper - ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression https://arxiv.org/abs/1707.06342

파일 탐색기

최종 버전 다운로드 (.zip)

- ThiNet-GAP.caffemodel
- trainval.prototxt
- ThiNet-Tiny.caffemodel
- trainval.prototxt
README.md

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression

Pretrained [caffe](https://github.com/BVLC/caffe) model of ICCV'17 paper:

"[ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression](https://arxiv.org/abs/1707.06342)"

For more details, please see our project page: [[ThiNet Project Page]](http://lamda.nju.edu.cn/luojh/project/ThiNet_ICCV17/ThiNet_ICCV17.html)

## Code
[Caffe Implementation of ThiNet](https://github.com/Roll920/ThiNet_Code)

## Models

224x224 center crop validation accuracy on ImageNet, tested on one M40 GPU with batch_size=32.

| Model  | Top-1 | Top-5 | #Param. | #FLOPs | f./b. (ms) |
| ------------- | ------------- | ------------- |  ------------- |  ------------- |  ------------- | 
| [ThiNet-GAP](http://lamda.nju.edu.cn/luojh/project/ThiNet_ICCV17/caffe_model/ThiNet-GAP.zip)  | 67.34%  | 87.92%  | 8.32M | 9.34B | 71.73/145.51 |
| [ThiNet-Tiny](http://lamda.nju.edu.cn/luojh/project/ThiNet_ICCV17/caffe_model/ThiNet-Tiny.zip) | 59.34% | 81.97% | 	1.32M | 2.01B | 29.51/55.83 |

**Note: These two models are trained with different image cropping method, see ``trainval.prototxt`` for more details.**

## Citation
If you find this work useful for your research, please cite:
```
@CONFERENCE{ThiNet_ICCV17,
  author={Jian-Hao Luo, Jianxin Wu, and Weiyao Lin},
  title={ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression},
  booktitle={ICCV},
  year = {2017},
  pages={5058-5066},
}
```

## Contact
Feel free to contact me if you have any question (Jian-Hao Luo luojh@lamda.nju.edu.cn or jianhao920@gmail.com).

ThiNet

파일 탐색기

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

ThiNet

파일 탐색기

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README