Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations, ECCV 2022

This repo is built on FSCE and developed with Pytorch 1.4.0 & Torchvision 0.5.0.

Requirements

Python == 3.6.13

Pytorch == 1.4.0

Torchvision == 0.5.0

CUDA == 10.1

build

python setup.py build develop

Training and Evaluation

• 1. Train the PA-BoVW model

sh run_bovw.sh

• 2. Train the object detector

sh run_coco.sh

Citation

If you find our code helpful in your research, please cite the following publication:

@inproceedings{pei2022few,
  title={Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations},
  author={Pei, Wenjie and Wu, Shuang and Mei, Dianwen and Chen, Fanglin and Tian, Jiandong and Lu, Guangming},
  booktitle={European Conference on Computer Vision},
  pages={283--299},
  year={2022},
  organization={Springer}
}

Acknowledgement

This repo is developed based on FSCE, some code snippets are borrowed Detectron2 and FewX. Thanks for these great projects.

Contact

Please feel free to contact me (Email: [email protected]) if you have any questions.