SAM-ViT-Large是一种基于SAM-ViT架构的视觉模型,用于图像分类和理解。该模型的主要特点是采用了Transformer作为基础结构,使得模型在处理图像数据时能够捕捉到更多的特征信息。此外,SAM-ViT-Large还引入了多头注意力机制,使得模型在处理图像时能够更加关注不同位置的特征信息,从而提高了图像分类和理解的准确性。 SAM-ViT...
facebook-sam-vit-largeOverviewThe Segment Anything Model (SAM) produces high quality object masks from input prompts such as points or boxes, and it can be used to generate masks for all objects in an image. It has been trained on a dataset of 11 million images and 1.1 billion masks, ...