It works with our dataloader, but the training does not seem to be improving test accuracy:
vX accuracy means X-way top-1 accuracy. So the blue performance is basically chance. For some reason we got good results on one particular run, but it cannot be replicated.
Some directions:
confirm the projection / transformer architecture dimensions
do a sanity check on the EEG, see if there is similar response curve or ERP on responses for the same image
We are working on the script in https://github.com/Alljoined/EEG_Image_decode/blob/newds/Retrieval/ATM_S_insubject_retrieval.py.
It works with our dataloader, but the training does not seem to be improving test accuracy:
vX accuracy means X-way top-1 accuracy. So the blue performance is basically chance. For some reason we got good results on one particular run, but it cannot be replicated.
Some directions: confirm the projection / transformer architecture dimensions do a sanity check on the EEG, see if there is similar response curve or ERP on responses for the same image