yifanzhang713/IA-SSD
A point-based deep learning detector for 3D object detection in LiDAR point clouds used in autonomous driving.
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IA-SSD (Instance-Aware Single-Stage detector) is a CVPR 2022 Oral paper implementing a highly efficient point-based detector for 3D LiDAR point clouds. The method uses learnable sampling strategies and instance-aware features to achieve efficient 3D object detection without expensive proposal generation stages. It is designed for real-time autonomous driving applications and is implemented in PyTorch.
Frequently asked
- What is yifanzhang713/IA-SSD?
- A point-based deep learning detector for 3D object detection in LiDAR point clouds used in autonomous driving.
- Is IA-SSD open source?
- Yes — yifanzhang713/IA-SSD is open source, released under the Apache-2.0 license.
- What language is IA-SSD written in?
- yifanzhang713/IA-SSD is primarily written in Python.
- How popular is IA-SSD?
- yifanzhang713/IA-SSD has 413 stars on GitHub.
- Where can I find IA-SSD?
- yifanzhang713/IA-SSD is on GitHub at https://github.com/yifanzhang713/IA-SSD.