Once for All: Train One Network and Specialize it for Efficient Deployment [arXiv] [Slides] [Video]
@inproceedings{
cai2020once,
title={Once for All: Train One Network and Specialize it for Efficient Deployment},
author={Han Cai and Chuang Gan and Tianzhe Wang and Zhekai Zhang and Song Han},
booktitle={International Conference on Learning Representations},
year={2020},
url={https://arxiv.org/pdf/1908.09791.pdf}
}
News
- Fisrt place in the 4th Low-Power Computer Vision Challenge, both classification and detection track.
- First place in the 3rd Low-Power Computer Vision Challenge, DSP track at ICCV’19 using the Once-for-all Network.
Check our GitHub for more details.
1 maintainer
Release files for ofa 0.1.0.post202307202001
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ofa-0.1.0.post202307202001-py3-none-any.whl | Python 3 | none | any | Details |
Release files / ofa-0.1.0.post202307202001-py3-none-any.whl
| Download URL | ofa-0.1.0.post202307202001-py3-none-any.whl |
|---|---|
| Size | 107.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
5fecfb6c560176a76cdcac85ea7af90d7cb17be294ee6fd8e172012b43d5d80e
|
|
BLAKE2b-256 checksum How to use checksums |
d7729ce788c3b80266e0a62ef0049d62ad7658482f2661c2d682661b6bfea9e4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.17
|
