MAGNeT, a context-weighted mixture of pre-fitted Ternary-Gaussian experts, reduces moving-target selection error below fixed-expert baselines in the authors' few-shot in-vehicle 2D and 3D datasets.
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MAGNeT: Multimodal Adaptive Gaussian Networks for Intent Inference in Moving Target Selection across Complex Scenarios
MAGNeT, a context-weighted mixture of pre-fitted Ternary-Gaussian experts, reduces moving-target selection error below fixed-expert baselines in the authors' few-shot in-vehicle 2D and 3D datasets.