Author

Karimi Nejadasl

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for Point Cloud Representation Learning

This work proposes an e-ective pre-training strategy, namely Temporal Masked Auto-Encoders (T-MAE), which takes as input temporally adjacent frames and learns temporal dependency, and demonstrates that T-MAE achieves the best performance on both Waymo and ONCE datasets among competitive self-supervised approaches.

Weijie Wei Fatemeh, Karimi Nejadasl, Theo Gevers et al. · 0 citations