Deep Learning, Artificial Intelligence, Image Classification, Fourier Transform, Fft.
proposed tiny model is significantly better compared to both DeiT-Ti (+2.4%) and gMLP-Ti (+2.6%) with the similar level of complexity. GFNet can easily adapt to higher resolution (384) with only 30 epoch finetuning and achieve better performance. Comparisons with hierarchical architectures on