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Position Anchor Tuning: Towards Efficient Adaptation of Pre-Trained Point Cloud Transformers
Parameter-efficient fine-tuning (PEFT) has recently emerged as a pivotal research direction for adapting pre-trained point cloud transformers to diverse downstream tasks. Although existing methods achieve excellent fine-tuning performance with high parameter efficiency, they ignore inference efficie
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