MPL-MAE introduces recalibrated positional embedding and gated positional interface modules to reduce positional over-reliance in 3D masked autoencoders and improve semantic representation quality.
arXiv preprint arXiv:2206.09900 (2023)
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Mitigating Positional Leakage in 3D Masked Autoencoders for Robust Representation Learning
MPL-MAE introduces recalibrated positional embedding and gated positional interface modules to reduce positional over-reliance in 3D masked autoencoders and improve semantic representation quality.