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Abstract: In this article, a hard constraint (HC) and domain-decomposition-based physics-informed neural network (HCD-PINN) framework is introduced for nonhomogeneous transient thermal analysis. In ...

Supervised Training: We train both ViT and CNN branches on labeled samples. Finding To Conquering Strategy (FTC): We find class-specific boundaries based on the fixed ViT Encoder E1 by maximizing ...

Abstract: Domain adaptive object detection (DAOD) aims to infer a robust detector on the target domain with the labelled source datasets. Recent studies utilize a feature extractor shared on the ...