Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral)
Detect 3D objects in LiDAR point clouds for applications like autonomous driving using a highly efficient detection method.
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IA-SSD has 413 stars on GitHub. It has been forked 50 times. IA-SSD is written mainly in Python. It has been in active development since 2022. IA-SSD is available under the Apache-2.0 license. Its main topics are 3d-object-detection, autonomous-driving, ia-ssd, object-detection.
Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral)
IA-SSD is an open-source project. It is released under the Apache-2.0 license.
Yes. IA-SSD is free and open source — you can use, modify and self-host it.
IA-SSD is available under the Apache-2.0 license.
IA-SSD is written mainly in Python.
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