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.
A simple vision transformer for weakly semi-supervised 3d object de- tection
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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.