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🔥🔥A pytorch implementation of Dynamic Convolutional Layer in Dynamic Conditional Convolutional Network for Few-Shot Learning🔥🔥
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ZhaoJ9014/Dynamic-Conditional-Networks.PyTorch
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- Pytorch implementation of the algorithm in our ECCV 2018Paper.
Clone the repo:
git clone https://github.com/ZhaoJ9014/Dynamic-Conditional-Networks-for-Few-Shot-Learning.pytorch.gitTested 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.
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}}
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🔥🔥A pytorch implementation of Dynamic Convolutional Layer in Dynamic Conditional Convolutional Network for Few-Shot Learning🔥🔥
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