Florence-VL
Enhancement tool for visual language models, combining generative visual encoders and deep breadth fusion technology.
CommonProductProgrammingVisual Language ModelsMultimodal Learning
Florence-VL is a visual language model that enhances the processing capabilities of visual and language information by introducing generative visual encoders and deep breadth fusion technology. The significance of this technology lies in its ability to improve machines' understanding of images and text, achieving better performance in multimodal tasks. Florence-VL is developed based on the LLaVA project, providing code for pre-training and fine-tuning, model checkpoints, and demonstrations.
Florence-VL Visit Over Time
Monthly Visits
494758773
Bounce Rate
37.69%
Page per Visit
5.7
Visit Duration
00:06:29