arXiv (OAI Expanded)
open access
MAETrack: Unleashing the Potential of Pretrained Geometric Priors for 3D Single Object Tracking
Large-scale pre-training has transformed representation learning in 2D vision, yet its transferability to 3D single object tracking (SOT) remains insufficiently understood. Directly fine-tuning self-supervised 3D encoders, such as masked autoencoders (MAE), often leads to sub-optimal adaptation beca
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