Deep Learning, Artificial Intelligence, Image Classification, Vision Transformer, Small Data.
5.8M parameters. And DHVT-S reaches 85.68 with only 22.8M parameters. With much fewer parameters, the proposed model achieves much higher performance against other ViT-based models and strong CNNs ResNeXt, SENet, SKNet, DenseNet and Res2Net. 2.3. Ablation Studies Ablation Studies Table 5: A