A bidirectional, multi-scale Mamba scan for cross-task interaction improves multi-task dense prediction accuracy on NYUD-V2 and PASCAL-Context over prior state-of-the-art methods.
Nddr-cnn: Layerwise feature fusing in multi-task cnns by neural discriminative dimensionality reduction
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Enhancing Mamba Decoder with Bidirectional Interaction in Multi-Task Dense Prediction
A bidirectional, multi-scale Mamba scan for cross-task interaction improves multi-task dense prediction accuracy on NYUD-V2 and PASCAL-Context over prior state-of-the-art methods.