Self-Supervised Point Cloud Understanding via Mask Transformer and Contrastive Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3224370
Abstract: Self-supervised point cloud understanding can pre-train the point cloud learning network on a large dataset, which helps boost the performance of fine-tuning on other smaller datasets in downstream tasks. Motivated to design an efficient self-supervised… read more here.
Keywords: point cloud; self supervised; point; cloud understanding ... See more keywords
FG-Net: A Fast and Accurate Framework for Large-Scale LiDAR Point Cloud Understanding.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3159815
Abstract: This work presents FG-Net, a general deep learning framework for large-scale point cloud understanding without voxelizations, which achieves accurate and real-time performance with a single NVIDIA GTX 1080 8G GPU and an i7 CPU. First,… read more here.
Keywords: cloud understanding; large scale; framework large; point cloud ... See more keywords