Official implementation for TTT++: When Does Self-supervised Test-time Training Fail or Thrive

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Deep Learning ttt-plus-plus
Overview

TTT++

This is an official implementation for TTT++: When Does Self-supervised Test-time Training Fail or Thrive?

TL;DR: Online Feature Alignment + Strong Self-supervised Learner 🡲 Robust Test-time Adaptation

  • Insights: limitations and potential of test-time training
  • Results: state-of-the-art on various robustness benchmarks

Code will be fully released in December 2021.

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Comments
  • Clarification on how test time accuracy is calculated

    Clarification on how test time accuracy is calculated

    Dear Authors, Many thanks for the great work. While going through the paper I could not understand how you compute the final accuracy on the test samples. Is the accuracy computed in an online manner (evaluate the model on the current batch as it trains on) or offline manner (evaluate the whole test set after training is finished)?

    Thanks.

    opened by devavratTomar 2
  • Can you release the training code?

    Can you release the training code?

    Thank you for your good work. Can you release the training code for the pre-trained model on CIFAR10/100 (the checkpoint of pre-trained Resnet-50 can be downloaded (214MB)…………)

    opened by TomSheng21 2
  • Pretraining code

    Pretraining code

    Dear authors,

    I am trying to the link you provided to access the pretraining code you used, but clicking on the link gives me the Page not found error.

    Would you mind double-checking whether this link is still valid? Thank you!

    opened by nutellamok 1
  • Multi-epoch training was performed on the test set.

    Multi-epoch training was performed on the test set.

    There is a discrepancy about test-time adaptation in this code that has me wondering.

    When adaptation operation runs on the test set, TTT and Tent perform only one epoch instead of hundreds of epochs. As I understand it, this code performs multiple epochs of adaptation to the network on the test set, which often does not make sense in practice in my opinion.

    opened by Dyb3438 1
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