UI layers merger: merging UI layers via visual learning and boundary prior
نویسندگان
چکیده
With the fast-growing graphical user interface (GUI) development workload in Internet industry, some work attempted to generate maintainable front-end code from GUI screenshots. It can be more suitable for using (UI) design drafts that contain UI metadata. However, fragmented layers inevitably appear drafts, which greatly reduces quality of generated code. None existing automated techniques detects and merges improve accessibility In this paper, we propose merger (UILM), a vision-based method automatically detect merge into components. Our UILM contains merging area detector (MAD) layer algorithm. The MAD incorporates boundary prior knowledge accurately boundaries Then, algorithm search associated within components’ them whole. We present dynamic data augmentation approach boost performance MAD. also construct large-scale dataset training testing UILM. Experimental results show proposed outperforms best baseline regarding detection achieves decent accuracy. A study on real application confirms effectiveness our
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ژورنال
عنوان ژورنال: Frontiers of Informaion Technology & Electronic Engineering
سال: 2023
ISSN: ['2095-9184', '2095-9230']
DOI: https://doi.org/10.1631/fitee.2200099