Deep Learning, Computer Vision, Cnn, Transformers, AI.
input distribution changes compared to Convolutional Neural Networks. However, they are less inherently invariant to geometric transformations, which can be mitigated through data augmentation techniques during training. These findings can help guide researchers and practitioners in selecting the