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Found 4 papers, 2 papers with code
GACE: Geometry Aware Confidence Enhancement for Black-Box 3D Object Detectors on LiDAR-Data
Widely-used LiDAR-based 3D object detectors often neglect fundamental geometric information readily available from the object proposals in their confidence estimation.
MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds
The sensing process of large-scale LiDAR point clouds inevitably causes large blind spots, i. e. regions not visible to the sensor.
SAILOR: Scaling Anchors via Insights into Latent Object Representation
State-of-the-art unsupervised domain adaptation approaches outsource methods to overcome the object size bias.
FAST3D: Flow-Aware Self-Training for 3D Object Detectors
In the field of autonomous driving, self-training is widely applied to mitigate distribution shifts in LiDAR-based 3D object detectors.
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