MH-NFPG models radar-to-pose ambiguity with a conditional normalizing flow, achieving calibrated uncertainty and 80 FPS inference on three benchmarks.
Enhancing skeletal pose estimation from mmWave point clouds through uncertainty reduction
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You Only Flow Once: Calibrated and Real-Time Radar Pose Estimation with Multi-Hypothesis Normalizing Flows
MH-NFPG models radar-to-pose ambiguity with a conditional normalizing flow, achieving calibrated uncertainty and 80 FPS inference on three benchmarks.