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cs.CV2026
Task-State Adaptation with Prototype Memory for Multi-Task Dense Prediction
Yangyang Xu, Haobo Yuan, Yuzhu Wang +4
Vision foundation backbones provide strong representations for dense prediction, yet a single shared feature still needs to support tasks with different, image-dependent adaptation…
cs.CV2023
DeGMix: Efficient Multi-Task Dense Prediction with Deformable and Gating Mixer
Yangyang Xu, Yibo Yang, Bernard Ghanem +3
Convolution neural networks and Transformers have their own advantages and both have been widely used for dense prediction in multi-task learning (MTL). Existing studies typically…