Deep Learning, Computer Vision, Cnn, Transformers, AI.
incorporating data augmentation techniques during training to improve the model’s performance under geometric transformations. Sensitivity to Input Distribution Changes: Both ViTs and CNNs exhibit sensitivity to changes in input distributions, but ViTs have been shown to be more robust in certain