A multi-view radar segmentation approach with hypergraphs for structural dependencies and UOT for view alignment reports mIoU gains of 1.7-2.3 points on CARRADA and RADIal benchmarks.
In: 2020 IEEE international conference on robotics and automation (ICRA)
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Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation
A multi-view radar segmentation approach with hypergraphs for structural dependencies and UOT for view alignment reports mIoU gains of 1.7-2.3 points on CARRADA and RADIal benchmarks.