model overfiting
Opened this issue · 3 comments
What datasets and loss functions did you use? There is also UCFRep dataset.
Used Countix Dataset:
train dataset: trainvids
valid dataset: valvids
test dataset: testvids
Loss:
SmoothL1Loss for period length
BCEWithLogitsLoss for periodicity
Given limited data, the model is bound to overfit. Use other datasets, the SyntheticDataset
class implements the technique mentioned in the paper. There are some videos from kinetics dataset in the synthvid directory. I wrote the class so that it can take large single files as well, so you can put in any random long video files into it as well. Also compare the metrics (OBO and MAE) that you get with those of the paper. They are better indicator of model performance than absolute loss values.