Deep Learning, Computer Vision, Cnn, Transformers, AI.
input distributions, as shown by experiments with corrupted and out-of-distribution samples. The authors argue that the attention mechanism in ViTs contributes to this robustness, enabling the model to effectively handle variations in input data. In conclusion, this research highlights the