A key issue when training deep neural networks for outdoor point clouds is the inevitable large data imbalance. For example, a typical street scene will contain orders of magnitudes more ground points than street furniture. We develop a novel solution to apply a weighted augmentation to physically decrease the class-imbalance.
People
- David Griffiths
- Prof. Jan Boehm
