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🔥🔥A pytorch implementation of Dynamic Convolutional Layer in Dynamic Conditional Convolutional Network for Few-Shot Learning🔥🔥
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README.md

README.md

Dynamic Conditional Networks for Few Shot Learning

  • Pytorch implementation of the algorithm in our ECCV 2018 Paper.

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}
    }
    
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