We validate CvT by conducting extensive experiments, showing that this approach achieves | |
state-of-the-art performance over other Vision Transformers and ResNets on ImageNet-1k, with fewer parameters and lower FLOPs. |
We validate CvT by conducting extensive experiments, showing that this approach achieves | |
state-of-the-art performance over other Vision Transformers and ResNets on ImageNet-1k, with fewer parameters and lower FLOPs. |