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The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.

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Hi. Thank you for your great work! While I am trying to reproduce your work for further research, I found following imagenet-100 configs yield inferior results for imagenet-1000. Can you...

作者您好,打扰您了。 请问能否方便提供一下[performance.png](https://github.com/G-U-N/ECCV22-FOSTER/blob/master/imgs/performance.png)这个图中的每个方法每个阶段的具体数据,也就是您论文中的图3.谢谢!

Is "Bound" joint-training 100 classes?Why Bound has different results ? ![image](https://user-images.githubusercontent.com/77711950/218346901-169dfbad-4b46-4ee9-a97d-ac668ed7e862.png) thank you!

Hello, Can you please provide the config file of training ImageNet1k? Thanks!