SPeaR: Test-Time Adaptation with Steering Primitives for Realigning Representations
cs.LG, cs.CV
Submitted: 2026-09-21
Updated: 2026-09-21
Code: https://github.com/huggingface/pytorch-image-models
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- RobustBench: a standardized adversarial robustness benchmark
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
- SITA: Single Image Test-time Adaptation
- Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors
- TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
- Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation
- Towards Stable Test-Time Adaptation in Dynamic Wild World
- How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers
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