[CVPR 2023 Highlight] LaserMix for Semi-Supervised LiDAR Semantic Segmentation
Use a framework to improve how self-driving cars understand their surroundings with LiDAR data.
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Free · no card · unsubscribe anytime[CVPR 2023 Highlight] LaserMix for Semi-Supervised LiDAR Semantic Segmentation
LaserMix has 320 stars on GitHub. It has been forked 21 times. LaserMix is written mainly in Python. It has been in active development since 2022. LaserMix is available under the Apache-2.0 license. Its main topics are autonomous-driving, lidar, segmentation, semi-supervised-learning.
[CVPR 2023 Highlight] LaserMix for Semi-Supervised LiDAR Semantic Segmentation
LaserMix is an open-source project. It is released under the Apache-2.0 license.
Yes. LaserMix is free and open source — you can use, modify and self-host it.
LaserMix is available under the Apache-2.0 license.
LaserMix is written mainly in Python.
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