Dino, Computer Vision, Transformers, Ssl, Deep Learning.
features = features_dict['x_norm_patchtokens'] total_features.append(features) total_features = torch.cat(total_features, dim=0) total_features.shape one should get the size of the torch.Size([4, 1369, 1024]), if followed above instructions. I have Applied 2-Step PCA as mentioned in the paper.