39 citations · 62 across the 9 of their papers we have counts for
3 papers · 1 filter
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection
Deepti Hegde, Vishal M. Patel
3D object detection networks tend to be biased towards the data they are trained on. Evaluation on datasets captured in different locations, conditions or sensors than that of the…
Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain Adaptive 3D Object Detection
Deepti Hegde, Vishwanath Sindagi, Velat Kilic +3
Pseudo-label based self training approaches are a popular method for source-free unsupervised domain adaptation. However, their efficacy depends on the quality of the labels genera…
Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection
Velat Kilic, Deepti Hegde, Vishwanath Sindagi +3
Lidar-based object detectors are critical parts of the 3D perception pipeline in autonomous navigation systems such as self-driving cars. However, they are known to be sensitive to…