https://github.com/zhaoj9014/dynamic-conditional-networks.pytorch
🔥🔥A pytorch implementation of Dynamic Convolutional Layer in Dynamic Conditional Convolutional Network for Few-Shot Learning🔥🔥
https://github.com/zhaoj9014/dynamic-conditional-networks.pytorch
conditional-model deep-learning dynamic-convolution few-shot-learning filter-bank
Last synced: about 2 months ago
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🔥🔥A pytorch implementation of Dynamic Convolutional Layer in Dynamic Conditional Convolutional Network for Few-Shot Learning🔥🔥
- Host: GitHub
- URL: https://github.com/zhaoj9014/dynamic-conditional-networks.pytorch
- Owner: ZhaoJ9014
- License: mit
- Created: 2018-07-30T00:32:16.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2021-12-09T07:17:00.000Z (over 3 years ago)
- Last Synced: 2025-03-28T15:21:32.774Z (2 months ago)
- Topics: conditional-model, deep-learning, dynamic-convolution, few-shot-learning, filter-bank
- Language: Python
- Homepage:
- Size: 501 KB
- Stars: 154
- Watchers: 9
- Forks: 32
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
### Dynamic Conditional Networks for Few Shot Learning
- Pytorch implementation of the algorithm in our ECCV 2018 [Paper](https://www.researchgate.net/publication/326584672_Dynamic_Conditional_Networks_for_Few-Shot_Learning).
## Getting Started
Clone the repo:
```
git clone https://github.com/ZhaoJ9014/Dynamic-Conditional-Networks-for-Few-Shot-Learning.pytorch.git
```
### Requirements
Tested under python3.
- python packages
- pytorch>=0.3.1
- Anaconda3
- An NVIDAI GPU and CUDA 8.0 or higher. Some operations only have gpu implementation.
- **NOTICE**: different versions of Pytorch package have different memory usages.
## Citation
- Please consult and consider citing the following paper:
@inproceedings{zhao2018dynamic,
title={Dynamic Conditional Networks for Few-Shot Learning},
author={Zhao, Fang and Zhao, Jian and Yan, Shuicheng and Feng, Jiashi},
booktitle={ECCV},
pages={19--35},
year={2018}
}