Fine-Tuning Point Cloud Transformers with Dynamic Aggregation
Jiajun Fei,Zhidong Deng,Jiajun Fei,Zhidong Deng
Point clouds play an important role in 3D analysis, which has broad applications in robotics and autonomous driving. The pre-training fine-tuning paradigm has shown great potential in the point cloud domain. Full fine-tuning is generally effective but leads to a heavy storage and computational burden, which becomes inefficient and unacceptable as the size of pre-trained models scales. Although eff...
