FACIL
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Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
Dear author, Thanks for your work. **Question 1:** I am quite confused about your definition of the model_old. **I thought model_old should be the model from the last tasks, therefore,...
Hello! Thank you very much for this library - it's great! I have a question: The default value of `--gridsearch-tasks` in `main_incremental.py` is `-1`. And it has been given that...
Hi, this is not really an issue. I'm currently developing a classification model which is trained by event-driven samples. The number of labels/classes grows as new events are produced and...
How to perform the grid search to find the accurate lambda value in ICARL approach for a custom dataset? Now the grid search is performed only on the learning rate...
Hi, when experimenting with LwM in FACIL I noticed that the method behaves the same regardless of the choice of `gamma` parameter that controls attention distillation loss. Upon closer investigation,...
Hello! I have a confusion about how to view Upperbound(Joint) results. First of all, I am running the code by setting the approach to "joint" to see the Upperbound(Joint) result...
Hello, I noticed that the accuracy of the LwF method in CIFAR-100 (10/10) drops to 16% after 10 tasks when the No exemplars approach is used, which is different fromthe...
accuracy
Does the accuracy of each stage only use the category validation set of the current task? Should the accuracy of all stages of training be taken as the final result?...