LTH-ObjectRecognition

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LTH-ObjectRecognition

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PyTorch implementation of the paper The Lottery Ticket Hypothesis for Object Recognition

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// repository documentation

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# LTH-ObjectRecognition

### The Lottery Ticket Hypothesis for Object Recognition
[Sharath Girish](http://sharath-girish.github.io/)\*, [Shishira R Maiya](https://scholar.google.com/citations?user=43zd4zIAAAAJ&hl=en)\*,
[Kamal Gupta](https://kampta.github.io/), [Hao Chen](https://haochen-rye.github.io/), [Larry Davis](http://users.umiacs.umd.edu/~lsd/),
[Abhinav Shrivastava](http://www.cs.umd.edu/~abhinav/)

[CVPR](https://arxiv.org/pdf/2012.04643.pdf) 2021

This repository contains the code for the various experiments in our paper.

`prune_voc` contains the code for training directly pruned tickets and ImageNet transferred tickets on Pascal-VOC, `prune_coco` is for the COCO dataset and `prune_imagenet` contains the code for ImageNet training. Refer to the directories for installation and run instructions.

# Citation
To cite this work, please use
```
@article{girish2020lottery,
  title={The Lottery Ticket Hypothesis for Object Recognition},
  author={Girish, Sharath and Maiya, Shishira R and Gupta, Kamal and Chen, Hao and Davis, Larry and Shrivastava, Abhinav},
  journal={arXiv preprint arXiv:2012.04643},
  year={2020}
}
```

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