Zero Shot Transfer 3D Point Cloud

Zero-Shot Transfer 3D Point Cloud Classification is an advanced computer vision technique designed to transfer learned model knowledge to new 3D point cloud classification tasks without any labeled data. This method achieves accurate recognition and classification of unseen categories through cross-domain knowledge transfer, significantly enhancing the model's generalization ability and application scope, particularly in fields such as autonomous driving, robotic navigation, and virtual reality.