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CrossMoCo

Official implementation of the paper CrossMoCo: Multi-modal Momentum Contrastive Learning for Point Cloud.

Few-shot 3D Point Cloud Classification

PWC PWC PWC PWC PWC PWC PWC PWC

3D Point Cloud Classification

PWC PWC PWC PWC

Dataset

For data preparation, please refer to CrossPoint

Training

ScanObjectNN

python train_crosspoint_moco_pretrained_scanobjectNN.py --model dgcnn --epochs 125 --lr 0.001 --gpu 3 --output_dim 256 --batch_size 20 --print_freq 200 --k 15 --K 4000 --exp_name moco_crossspoint_scanobject --img_model resnet50 --m 0.9999

ModelNet40

python train_crosspoint_moco_pretrained.py --model dgcnn --epochs 125 --lr 0.001 --gpu 2 --output_dim 256 --batch_size 20 --print_freq 200 --k 15 --K 4000 --exp_name moco_crossspoint_resnet50_epoch125_m_0.9999 --img_model resnet50 --m 0.9999

Acknowledgement

Our code is based on CrossPoint

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Official implementation of our CRV'23 paper, "CrossMoCo: Multi-modal Momentum Contrastive Learning for Point Cloud"

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