B³-Net improves multi-task dense prediction by estimating patch-wise evidence precision, fusing it into a reliability-weighted posterior bridge, and redistributing via bounded updates to limit contamination from unreliable task evidence.
MTMamba++: Enhancing multi-task dense scene understanding via Mamba-based decoders
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$\mathcal{B}^{3}$-Net: Controlled Posterior Bridge Learning for Multi-Task Dense Prediction
B³-Net improves multi-task dense prediction by estimating patch-wise evidence precision, fusing it into a reliability-weighted posterior bridge, and redistributing via bounded updates to limit contamination from unreliable task evidence.