Dear Authors,
Congrats on your CVPR acceptance!
In the forward method of the model I see there is the option of not passing joint/motion parameters. So, during training do you also use non articulated objects (to train only for part segmentation)?
In preliminary training experiments with particulate with ~3.800 articulated objects and using the same augmentation techniques, the model suffers from overfitting for the part segmentation problem as indicated from my 'point_mask_loss' validation curves. Would be helpful if you have any suggestions to this matter.
Thanks in advance,
Sotiris
Dear Authors,
Congrats on your CVPR acceptance!
In the forward method of the model I see there is the option of not passing joint/motion parameters. So, during training do you also use non articulated objects (to train only for part segmentation)?
In preliminary training experiments with particulate with ~3.800 articulated objects and using the same augmentation techniques, the model suffers from overfitting for the part segmentation problem as indicated from my 'point_mask_loss' validation curves. Would be helpful if you have any suggestions to this matter.
Thanks in advance,
Sotiris