official pytorch implements for the experiments of paper "Rethinking Pretraining as a Bridge from ANNs to SNNs"
checkpoints download: google driver
Th paper has been accepted by IEEE Transactions on Neural Networks and Learning Systems
- Note: codes for Experiments 2 on Es-ImageNet (pipe-D) an the checkpoints of models can be found in ES-ImageNet-Master
- Data avaiablity:
- ES-ImageNet: see ES-ImageNet-Master
- ES-UCF101: google drive
- This repository is still in constructing...
![image](https://private-user-images.githubusercontent.com/33993639/243547879-135d90e1-81fd-4539-8072-9ec8cb204293.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.iY3L_arIQOsd4LJmr-uFEFTKAd102KmmaAAygPD5Mhs)
![image](https://private-user-images.githubusercontent.com/33993639/243547903-00c02b25-12b3-4753-89a5-9ba4dd1d8f43.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.glJ_s-DkuqpV-uI8qAknU7EZPXAi-FLtZZCsxRklni0)
![image](https://private-user-images.githubusercontent.com/33993639/243547922-516a9075-c32d-4521-b97d-26f23b96f2df.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.ZtNlLQlTO744InW-cwUqWq7W9Qh3eOkVJnLOEZWVabk)
![image](https://private-user-images.githubusercontent.com/33993639/243547940-42386d4e-c50f-4bc2-b85b-620bf646c05a.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.ft7fsQ8_aghUw29adaUJQHp-ROAFtmewLR-_4wTmwFM)
If you find this code useful in your research, please consider citing and here is an example BibTeX entry:
@article{lin2022rethinking,
title={Rethinking pretraining as a bridge from anns to snns},
author={Lin, Yihan and Hu, Yifan and Ma, Shijie and Yu, Dongjie and Li, Guoqi},
journal={IEEE Transactions on Neural Networks and Learning Systems},
year={2022},
publisher={IEEE}
}