ImageNet top-1 validation set accuracy via linear transfer or via supervised training and neural predictivity for each model.
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https://figshare.com/articles/dataset/ImageNet_top-1_validation_set_accuracy_via_linear_transfer_or_via_supervised_training_and_neural_predictivity_for_each_model_/24232239
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We summarize here the top-1 accuracy for each self-supervised and supervised model on ImageNet as well as their noise-corrected neural predictivity obtained via the PLS map (aggregated across all visual areas). These values are plotted in Fig 2C and S2 Fig. Unless otherwise stated, each model is trained and validated on 64 × 64 pixels images.
创建时间：
2023-10-02
