Rethinking visual prompting for multimodal large language models with external knowledge
In recent years, multimodal large language models (MLLMs) have made significant strides by training on vast high-quality image-text datasets, enabling them to generally understand images well. However, the inherent difficulty in explicitly conveying fine-grained or spatially dense information in tex...
| Những tác giả chính: | , , , , , , |
|---|---|
| Định dạng: | Internet publication |
| Ngôn ngữ: | English |
| Được phát hành: |
2024
|