PointTPA uses serialization-based neighborhood grouping and a dynamic parameter projector to adapt network weights per scene patch, reaching 78.4% mIoU on ScanNet with under 2% added parameters.
Dylora: Parameter-efficient tuning of pre- trained models using dynamic search-free low-rank adapta- tion
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PointTPA: Dynamic Network Parameter Adaptation for 3D Scene Understanding
PointTPA uses serialization-based neighborhood grouping and a dynamic parameter projector to adapt network weights per scene patch, reaching 78.4% mIoU on ScanNet with under 2% added parameters.