VisHall3D splits monocular 3D scene completion into visible-region reconstruction (VisFrontierNet) and invisible-region hallucination (OcclusionMAE), reporting SOTA mIoU of 17.46 and 20.95 on SemanticKITTI and SSCBench-KITTI-360.
Cascade r-cnn: High quality object detection and instance segmentation.IEEE transactions on pattern analysis and machine intelligence, 43(5):1483–1498, 2019
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VisHall3D: Monocular Semantic Scene Completion from Reconstructing the Visible Regions to Hallucinating the Invisible Regions
VisHall3D splits monocular 3D scene completion into visible-region reconstruction (VisFrontierNet) and invisible-region hallucination (OcclusionMAE), reporting SOTA mIoU of 17.46 and 20.95 on SemanticKITTI and SSCBench-KITTI-360.