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Partition-Invariant Tuning for 3D Scene Understanding

Lin, Hongqiang et al.
arXiv (OAI Expanded) · Papers
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computer-vision-and-pattern-recognition
Scene-level point cloud understanding remains challenging due to diverse geometries and spatial layouts. While pre-trained 3D point cloud foundation models (PFMs) offer strong transferability, full fine-tuning (FFT) incurs substantial computational and storage costs. Parameter-efficient fine-tuning
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