3D Source Free Domain Adaptation

"3D Source-Free Domain Adaptation" is an advanced technique in the field of computer vision aimed at addressing 3D data adaptation issues under different data distributions. This task uses transfer learning methods to apply pre-trained 3D models to the target domain without access to source domain data, enhancing the model's generalization and performance in new environments. Its application value lies in effectively reducing data annotation costs and improving the practicality and robustness of 3D vision systems.