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CBF-Net: An Adaptive Context Balancing and Feature Filtering Network for Point Cloud Classification
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Point cloud classification is regarded as a critical task in remote sensing data interpretation, which is widely used in many fields. Recently, many proposed methods tend to develop an end-to-end network to directly operate on the raw point cloud, which has shown great power. However, most of these methods abstract local features by equally considering the neighboring points. The features learned may neglect to distinguish contributions of different points especially the edge points and
doi:10.1109/jstars.2021.3106376
fatcat:gqazjzlys5habmzb3ajw7z5lqa