You mention in paper that you used "Graph segmentation is used to split train, validation and test dataset."
What exactly is that? I am trying to re-create your model training pipeline on my custom data. But the loss is not decreasing and is everywhere. I have tried everything from diagnosing image tensors, changing parameters, adjusting regularization.
I am thinking my problem might be because I randomly split the outfits in train, test and val set.
Please help me on how Graph Segmentation can be done? I am dealing in Python FYI.
You mention in paper that you used "Graph segmentation is used to split train, validation and test dataset."
What exactly is that? I am trying to re-create your model training pipeline on my custom data. But the loss is not decreasing and is everywhere. I have tried everything from diagnosing image tensors, changing parameters, adjusting regularization.
I am thinking my problem might be because I randomly split the outfits in train, test and val set.
Please help me on how Graph Segmentation can be done? I am dealing in Python FYI.
TIA