[ICCV 2023] GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds
License: Apache License 2.0
This is the mindspore implementation of GPA-3D (ICCV, 2023), a novel framework leveraging the intrinsic geometric relationship for unsupervised domain adaptive 3D detection from point clouds. For more details, please refer to:
GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds
Ziyu Li, Jingming Guo, Tongtong Cao, Liu Bingbing, Wankou Yang
[Paper]
Related code will be released based on mindspore gradually.
Dear Author,
Congratulations on your GPA-3D being accepted by ICCV 2023!
May I ask when the complete code can be open source? Considering better compatibility with other 3D cross-domain work, would you like to open source an implementation based on OpenPCDet?
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