Search Results for author:
Found 4 papers, 4 papers with code
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
The need for fine-grained perception in autonomous driving systems has resulted in recently increased research on online semantic segmentation of single-scan LiDAR.
Ranked #11 on
Robust 3D Semantic Segmentation
on nuScenes-C
CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild
In particular, we learn a camouflage pattern to hide vehicles from being detected by state-of-the-art convolutional neural network based detectors.
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes
Hence, we propose a curriculum-style learning approach to minimizing the domain gap in urban scene semantic segmentation.
Ranked #26 on
Image-to-Image Translation
on SYNTHIA-to-Cityscapes
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes
Hence, we propose a curriculum-style learning approach to minimize the domain gap in urban scenery semantic segmentation.
Ranked #27 on
Image-to-Image Translation
on SYNTHIA-to-Cityscapes
