TMUR replaces independent evidential fusion with a unified router that observes global multi-view context to produce reliable expert weights and address scale bias in view uncertainties.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
UAU-Net improves facial action unit detection by modeling uncertainty at both representation learning via conditional VAE and evidential classification via asymmetric Beta network.
citing papers explorer
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Are Independently Estimated View Uncertainties Comparable? Unified Routing for Trusted Multi-View Classification
TMUR replaces independent evidential fusion with a unified router that observes global multi-view context to produce reliable expert weights and address scale bias in view uncertainties.
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UAU-Net: Uncertainty-aware Representation Learning and Evidential Classification for Facial Action Unit Detection
UAU-Net improves facial action unit detection by modeling uncertainty at both representation learning via conditional VAE and evidential classification via asymmetric Beta network.