Formalizes continual segmentation under coupled class-domain-label shifts and introduces gradient-adaptive stabilization plus prototype consistency for semi-supervised learning in heterogeneous dense prediction.
GAS adapts to the current distribution by recomputing noise scales from current gradients, achievingO(dδ 2)divergence
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Continual Segmentation under Joint Nonstationarity
Formalizes continual segmentation under coupled class-domain-label shifts and introduces gradient-adaptive stabilization plus prototype consistency for semi-supervised learning in heterogeneous dense prediction.