cotta
This resource delves into continual test-time domain adaptation by comparing methods such as AdaBN, BN Adapt, and TENT. It covers tasks from CIFAR10/100 to ImageNet and Cityscapes to ACDC, aimed at optimizing classification and segmentation models. Learn about experimental setups including environment preparation via Conda, and experiment scripts tested on systems like RTX2080TI and RTX3090. Additional links provide access to supplementary materials for a thorough understanding of implementation and methodology.
