MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI Understanding
Qinzhuo Wu , Weikai Xu , Wei Liu , Tao Tan , Jianfeng Liu , Ang Li , Jian Luan , Bin Wang , Shuo Shang
- 🏛 Institutions
- XiaoMi AI Lab , University of Electronic Science and Technology of China , Renmin University of China
- 📅 Date
- September 23, 2024
- 📑 Publisher
- Findings of EMNLP 2024
- 💻 Env
- Mobile
- 🔑 Keywords
TLDR
MobileVLM is a mobile-focused vision-language model trained with two extra UI-specific pretraining stages designed to improve both intra-UI element understanding and inter-UI transition understanding. The paper also introduces the 3M-page Chinese mobile corpus Mobile3M with real transition-action graphs, and reports stronger performance than prior VLMs on in-house and public mobile benchmarks.
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