Aloe-Vision: Robust Vision-Language Models for Healthcare
arXiv:2606.27500v1 Announce Type: new Abstract: Large Vision-Language Models (LVLMs) specialized in healthcare are emerging as a promising research direction due to their potential impact in clinical and biomedical applications. However, progress is constrained by the scarcity of high-quality medical multimodal data, concerns about robustness in safety-critical settings, and the narrow and potentially contaminated evaluation benchmarks that limit reliable assessment. To address these issues, the...
arXiv cs.CV
·Jaume Guasch-Mart\'i, Enrique Lopez-Cuena, Mart\'in Su\'arez-Fern\'andez, Jordi Bayarri-Planas, Anna Arias-Duart, Dario Garcia-Gasulla
·
// relacionados
Leia também
Editorial
Muse Glimmer: a Meta volta ao código aberto com um agente de 30B que cabe numa GPU
Blog
NeuPAT: Ajuste de Alocação de Plasticidade Ciente de Neurônios para MLLMs que Preservam a Linguagem
Blog
Classificação Multimodal de Lesões de Pele com Swin Transformer e Fusão de Metadados Clínicos
Blog