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Hello
How are you?
Thanks for contributing this project.
I have a question.
Does this project support class-incremental training for saving training time without catastrophic forgetting?
Let's suppose I've trained a model on the dataset with K classes for 7 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 a very important function.
I send some recommended papers for this project. https://arxiv.org/pdf/1708.06977.pdf https://arxiv.org/pdf/2003.04668.pdf https://arxiv.org/pdf/2003.06957.pdf https://arxiv.org/pdf/2003.07304.pdf
Please let me know if you have a willing to implement this.
Thanks
The text was updated successfully, but these errors were encountered:
rose-jinyang
changed the title
Support of Incremental Object Detection for Saving Training Time without Catastrophic Forgetting
Support of Incremental Object Detection
Aug 5, 2020
We don't support these works in detection area now.
And I suggest you to modify our code directly, and I believe it is not difficult to implement these works.
Hello
How are you?
Thanks for contributing this project.
I have a question.
Does this project support class-incremental training for saving training time without catastrophic forgetting?
Let's suppose I've trained a model on the dataset with K classes for 7 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 a very important function.
I send some recommended papers for this project.
https://arxiv.org/pdf/1708.06977.pdf
https://arxiv.org/pdf/2003.04668.pdf
https://arxiv.org/pdf/2003.06957.pdf
https://arxiv.org/pdf/2003.07304.pdf
Please let me know if you have a willing to implement this.
Thanks
The text was updated successfully, but these errors were encountered: