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Andreas Schriebl

1 accepted papers

2023

MATE: Masked Autoencoders are Online 3D Test-Time Learners

ICCV 2023poster

Our MATE is the first Test-Time-Training (TTT) method designed for 3D data, which makes deep networks trained for point cloud classification robust to distribution shifts occurring in test data. Like existing TTT methods from the 2D image domain, MATE also leverages test data for adaptation. Its tes…

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