Closed jaideep11061982 closed 1 year ago
@Verg-Avesta are we expected to get better results with heavy architectures that you have listed . They differ in embedding size & no of layers i suppose
mae_vit_large_patch16_dec512d8b
There may be a small boost in results. But due to the small FSC-147 dataset and the difficulty of training large models, I don't think the results will be improved greatly.
Hi @Verg-Avesta 1) What other architecture can we use with demo.py from the list below . 2) Do we have pretrained weights for all below architectures in the list ? 3) Did you try with using Vit small , that uses patch size of 32 ?