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09/19/2023
SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving
Annotating 3D LiDAR point clouds for perception tasks including 3D objec...
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09/11/2023
ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation
Domain shifts such as sensor type changes and geographical situation var...
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06/01/2023
AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset
It is a long-term vision for Autonomous Driving (AD) community that the ...
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03/13/2023
Uni3D: A Unified Baseline for Multi-dataset 3D Object Detection
Current 3D object detection models follow a single dataset-specific trai...
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03/10/2023
Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection
Unsupervised Domain Adaptation (UDA) technique has been explored in 3D c...
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12/20/2022
ADAS: A Simple Active-and-Adaptive Baseline for Cross-Domain 3D Semantic Segmentation
State-of-the-art 3D semantic segmentation models are trained on the off-...
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07/02/2022
