Deep Learning, Computer Vision, Cnn, Transformers, AI.
outperformed ConvNets in most cases. In the realm of fine-grained classification, which involves distinguishing between highly similar classes, ViTs demonstrated a stronger ability to capture subtle differences. This was observed on the Flower102 and CUB200 datasets, containing images of flowers