Closed Ha0-W closed 4 years ago
Choose an intermediate model with a better performance trade-off between the old and new classes.
We've developed the acquisition-memory curves (in Fig.7 of supplementary material) to justify the selection of models, where a F score is computed to balance the accuracies of old and new classes. In this way, we can get a better recognition performance for longer sequence of learning.
You can access the CVPR website http://conferences.computer.org/cvpr, and download the supplementary material. username: cvpr20 passwd: conf20//
Thanks!
I wonder how to get the result of session > 2. We will train on the 25 images for some epochs. We evaluate the model after each epoch and choose the best result or just after the last epoch?