3 papers
cs.CV2024
UMSPU: Universal Multi-Size Phase Unwrapping via Mutual Self-Distillation and Adaptive Boosting Ensemble Segmenters
Lintong Du, Huazhen Liu, Yijia Zhang +4
Spatial phase unwrapping is a key technique for extracting phase information to obtain 3D morphology and other features. Modern industrial measurement scenarios demand high precisi…
cs.CV2024
Rotation Perturbation Robustness in Point Cloud Analysis: A Perspective of Manifold Distillation
Xinyu Xu, Huazhen Liu, Feiming Wei +3
Point cloud is often regarded as a discrete sampling of Riemannian manifold and plays a pivotal role in the 3D image interpretation. Particularly, rotation perturbation, an unexpec…
cs.CV2024
PreCM: The Padding-based Rotation Equivariant Convolution Mode for Semantic Segmentation
Xinyu Xu, Huazhen Liu, Tao Zhang +2
Semantic segmentation is an important branch of image processing and computer vision. With the popularity of deep learning, various convolutional neural networks have been proposed…