Brain-Adapter combines a text-conditioned attention stream and a visual MIL stream with consistency constraints and uncertainty-aware refinement to classify acute intracranial pathologies in 3D CT scans from 2D VLMs and reports.
arXiv preprint arXiv:2512.14480 (2025)
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ReasonCLIP-58M applies continual pretraining with visually grounded reasoning captions on 58M examples to improve CLIP-style models on commonsense and compositional reasoning tasks.
citing papers explorer
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Brain-Adapter: A Dual-Stream Vision-Language MIL Framework for Comprehensive 3D CT Diagnosis of Acute Intracranial Pathologies
Brain-Adapter combines a text-conditioned attention stream and a visual MIL stream with consistency constraints and uncertainty-aware refinement to classify acute intracranial pathologies in 3D CT scans from 2D VLMs and reports.
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ReasonCLIP-58M: Visually Grounded Commonsense Reasoning Supervision for CLIP
ReasonCLIP-58M applies continual pretraining with visually grounded reasoning captions on 58M examples to improve CLIP-style models on commonsense and compositional reasoning tasks.