Deep Learning, Artificial Intelligence, Image Classification, Vision Transformer, Transformers.
style transfer. 2.3. Results Error consistency results on Stylized ImageNet (SIN) dataset. Higher Cohen k and lower JS distance each indicate greater error consistency. For Cohen’s k and Inter-class JS distance, ViT is more consistent with humans than ResNet. Shape bias for different networks for