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.
Proof.Part (i):By Lemma B.23,ρ mem(t) = 1−e t →1−e ∞ ≤1−e ∗
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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.