joe-siyuan-qiao / DetectoRS

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

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Class-Incremental Training for saving training time

rose-jinyang opened this issue · comments

Hello
How are you?
Thanks for contributing this project.
I have a question.
Does this project support class-incremental training for saving training time?
Let's suppose I've trained a model on the dataset with K classes for 5 days.
If a new class is added into this dataset, should we train a model with the expanded dataset (K+1 classes) from begin?
If so, it is so expensive, especially in case of object detection in retail store.
That's because a new class of good is added frequently in retail store.
Can we train a new model in short time with the original weight on the expanded dataset?
I think that this is very important function.
Please let me know if you have a willing to implement this.
Thanks

That's a good direction to explore. However, we do not have plan to implement it if mmdet does not support this.