DAQ

KO | EN

gitlite — search

#javascript #hacktoberfest #llm #go #android #machine-learning #rust #deep-learning #docker #java #awesome-list #vue #mcp #open-source

(★ 48)

An official PyTorch implementation of the paper "Distance-aware Quantization", ICCV 2021.

DAQ 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# PyTorch implementation of DAQ

This is an official implementation of the paper "Distance-aware Quantization", accepted to ICCV2021.

For more information, checkout the project site [[website](https://cvlab.yonsei.ac.kr/projects/DAQ/)].

# Getting started

## Dependencies
* Python 3.6
* PyTorch = 1.5.0

## Datasets
* Cifar-10
    * This can be automatically downloaded by learning our code

## Training & Evaluation
First, clone our github repository.
```bash
$ git clone https://github.com/cvlab-yonsei/DAQ.git
```
Cifar-10 dataset (ResNet-20 architecture)

```bash
# Cifar-10 & ResNet-20 W1A1 model
$ python cifar10_train.py --config configs/DAQ/resnet20_DAQ_W1A1.yml
# Cifar-10 & ResNet-20 W1A32 model
$ python cifar10_train.py --config configs/DAQ/resnet20_DAQ_W1A32.yml
```

## Using the pretrained models
* ResNet-20 
  * You can use the pretrained models (W1A1, W1A32) in [[here](https://github.com/cvlab-yonsei/DAQ/tree/main/results)]

---
## Citation
```
@inproceedings{kim2021daq,
    author={Kim, Dohyung  and Lee, Junghyup and Ham, Bumsub},
    title={Distance-aware Quantization},
    booktitle={Proceedings of International Conference on Computer Vision},
    year={2021},
}
```
---
## Credit
* ResNet-20 model: [[ResNet on CIFAR10](https://github.com/akamaster/pytorch_resnet_cifar10/blob/master/resnet.py)] [[IRNet](https://github.com/XHPlus/IR-Net/blob/master/resnet-20-cifar10/1w1a/resnet.py)]
* Quantized modules: [[DSQ](https://github.com/ricky40403/DSQ/blob/master/DSQConv.py#L18)]

DAQ

DAQ 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

DAQ

DAQ 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README