A hierarchical taxonomy and comparative review of continual test-time adaptation methods that adapt vision models online to non-stationary unlabeled streams while fighting forgetting and error accumulation.
Test-time adaptation for geospatial point cloud semantic segmentation with distinct domain shifts.ISPRS Journal of Photogrammetry and Remote Sensing, 229: 422–435, 2025d
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Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions
A hierarchical taxonomy and comparative review of continual test-time adaptation methods that adapt vision models online to non-stationary unlabeled streams while fighting forgetting and error accumulation.