Moreover, for effective training, we consider difficulty-based sampling strategy to encourage the network to pay more attention to some partial point clouds with fewer geometric information.
Our method can significantly improve the backbones in all three datasets.
Ranked #2 on Semantic Segmentation on Semantic3D
Face anti-spoofing is crucial to security of face recognition systems.
Anomaly detection is a fundamental problem in computer vision area with many real-world applications.
Acoustic anomaly detection aims at distinguishing abnormal acoustic signals from the normal ones.
One-class novelty detection is the process of determining if a query example differs from the training examples (the target class).