LIDARLearn is a unified PyTorch library integrating 29 supervised point cloud architectures, 7 self-supervised pre-training methods, and 5 PEFT strategies with built-in cross-validation, statistical testing, and automated reporting.
P2p: Tuning pre-trained image models for point cloud analysis with point-to-pixel prompting
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LIDARLearn: A Unified Deep Learning Library for 3D Point Cloud Classification, Segmentation, and Self-Supervised Representation Learning
LIDARLearn is a unified PyTorch library integrating 29 supervised point cloud architectures, 7 self-supervised pre-training methods, and 5 PEFT strategies with built-in cross-validation, statistical testing, and automated reporting.