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Preprint Aug 2026

Task-State Adaptation with Prototype Memory for Multi-Task Dense Prediction

MemMTL, a multi-task dense prediction framework that estimates a compact task state from global visual context and refines it through a learnable task-state prototype memory, is proposed.

Yang-Yang Xu, Haobo Yuan, Yu-Zhu Wang et al. · 0 citations

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