Bibliography (7):

1. Vision Transformer: An Image is Worth 16×16 Words: Transformers for Image Recognition at Scale

2. Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs (RepLKNet)

3. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

4. Attention Is All You Need

5. ImageNet Large Scale Visual Recognition Challenge

6. https://github.com/VITA-Group/SLaK

7. Wikipedia Bibliography:

   1. Convolutional neural network