While training with SwinB (384 384) and keeping the dynamic resize to 1280 during inference I see a high quality edges without any lack of global object saliency. But when train a Tiny version of SwinTransformer (224 224) I see the global object saliency is lacking and not getting the high quality edges. May I know if I have to change anything for tiny versions or any suggestions here?
While training with SwinB (384 384) and keeping the dynamic resize to 1280 during inference I see a high quality edges without any lack of global object saliency. But when train a Tiny version of SwinTransformer (224 224) I see the global object saliency is lacking and not getting the high quality edges. May I know if I have to change anything for tiny versions or any suggestions here?