Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)
I have a question about your experiment.
Did you train your model with Stylized-ImageNet from scratch (I mean without ImageNet pretraine)? or Did you train the model with SIN and with ImageNet pretrained?
If you trained your model with SIN and with ImageNet-pretrained weight, Was there a moment which is the texture-bias saturated?
I have a question about your experiment. Did you train your model with Stylized-ImageNet from scratch (I mean without ImageNet pretraine)? or Did you train the model with SIN and with ImageNet pretrained?
If you trained your model with SIN and with ImageNet-pretrained weight, Was there a moment which is the texture-bias saturated?