SPARNet combines sample partitioning, generalized entropy minimization, mean-teacher consistency, and an anti-forgetting regularizer to improve continual test-time adaptation on CIFAR10-C, CIFAR100-C, and ImageNet-C.
Adversarial continual learning,
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SPARNet: Continual Test-Time Adaptation via Sample Partitioning Strategy and Anti-Forgetting Regularization
SPARNet combines sample partitioning, generalized entropy minimization, mean-teacher consistency, and an anti-forgetting regularizer to improve continual test-time adaptation on CIFAR10-C, CIFAR100-C, and ImageNet-C.