CPCANet unrolls the Flury-Gautschi algorithm for Common Principal Component Analysis into differentiable layers to learn a shared invariant subspace across domains, reporting SOTA zero-shot transfer on four DG benchmarks.
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SCOUT achieves state-of-the-art BLEU-1 to BLEU-4 and METEOR scores on TCGA-BRCA, MICCAI REG, and HistAI by fusing local histology, slide-level context, and semantic concepts in a context-aware transformer.
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CPCANet: Deep Unfolding Common Principal Component Analysis for Domain Generalization
CPCANet unrolls the Flury-Gautschi algorithm for Common Principal Component Analysis into differentiable layers to learn a shared invariant subspace across domains, reporting SOTA zero-shot transfer on four DG benchmarks.
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Semantic Context-aware mOdality fUsion Transformer (SCOUT): A Context-Aware Multimodal Transformer for Concept-Grounded Pathology Report Generation
SCOUT achieves state-of-the-art BLEU-1 to BLEU-4 and METEOR scores on TCGA-BRCA, MICCAI REG, and HistAI by fusing local histology, slide-level context, and semantic concepts in a context-aware transformer.