A new Virtual Multi-View Synthesis module improves pedestrian orientation estimation when integrated into the AVOD-FPN 3D detector, outperforming prior methods on KITTI Orientation, 3D, and Bird's Eye View benchmarks.
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
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Introduces importance-aware loss and BiERF-PSPNet extension for semantic segmentation tailored to navigational assistant systems, evaluated on CamVid and Cityscapes.
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Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation
A new Virtual Multi-View Synthesis module improves pedestrian orientation estimation when integrated into the AVOD-FPN 3D detector, outperforming prior methods on KITTI Orientation, 3D, and Bird's Eye View benchmarks.
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Importance-Aware Semantic Segmentation with Efficient Pyramidal Context Network for Navigational Assistant Systems
Introduces importance-aware loss and BiERF-PSPNet extension for semantic segmentation tailored to navigational assistant systems, evaluated on CamVid and Cityscapes.