A probabilistic Gaussian model with adaptive contrastive asymmetry rectification improves multi-modal test-time adaptation by modeling category distributions and correcting modality asymmetry for better predictions under shifts.
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Multi-modal Test-time Adaptation via Adaptive Probabilistic Gaussian Calibration
A probabilistic Gaussian model with adaptive contrastive asymmetry rectification improves multi-modal test-time adaptation by modeling category distributions and correcting modality asymmetry for better predictions under shifts.