Meta：Tuna-2 细粒度视觉感知

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Tuna-2是一种创新的原生统一多模态模型，它摒弃了传统的预训练视觉编码器。该模型通过直接基于原始像素嵌入进行操作，实现了视觉理解与图像生成的完全端到端优化。研究人员引入了一种基于掩码的视觉特征学习方案，以增强模型在处理高维像素空间时的稳健性。实验结果显示，Tuna-2 在多项基准测试中达到了领先水平，尤其在需要细粒度视觉感知的任务上表现卓越。这证明了移除视觉编码器不仅能简化模型架构，还能在多模态建模中提供更强的扩展潜力与表现力。

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Meta：Tuna-2 细粒度视觉感知

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