CrossMoCo: Multi-Modal Momentum Contrastive Learning for Point Cloud
Author:
Affiliation:
1. Concordia Institute for Information Systems Engineering (CIISE), Concordia University,Montreal,QC,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10229810/10227862/10229841.pdf?arnumber=10229841
Reference43 articles.
1. Contrastive Learning with Stronger Augmentations
2. Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds
3. Overlap-guided Gaussian Mixture Models for Point Cloud Registration
4. Self-supervised deep learning on point clouds by reconstructing space;sauder;Advances in neural information processing systems,2019
5. Bootstrap your own latent-a new approach to self-supervised learning;grill;Advances in neural information processing systems,2020
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1. Fine-Tuning Point Cloud Transformers with Dynamic Aggregation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
2. Semantic Segmentation Using Transfer Learning on Fisheye Images;2023 International Conference on Machine Learning and Applications (ICMLA);2023-12-15
3. DualMLP: a two-stream fusion model for 3D point cloud classification;The Visual Computer;2023-10-10
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