| # OnZeta | |
| PyTorch Implementation for Our ECCV'24 Paper: "Online Zero-Shot Classification with CLIP" | |
| ## Requirements | |
| * Python 3.9 | |
| * PyTorch 1.12 | |
| * [CLIP](https://github.com/openai/CLIP) | |
| ## Usage: | |
| OnZeta with pre-trained ResNet-50 | |
| ``` | |
| python main_online.py -a RN50 --data_path /path/to/imagenet | |
| ``` | |
| ## Citation | |
| If you use the package in your research, please cite our paper: | |
| ``` | |
| @inproceedings{qian2024onzeta, | |
| author = {Qi Qian and | |
| Juhua Hu}, | |
| title = {Online Zero-Shot Classification with CLIP}, | |
| booktitle = {The 18th European Conference on Computer Vision, {ECCV} 2024}, | |
| year = {2024} | |
| } | |