Multimodal Icon Annotation For Mobile Applications
WEBSep 27, 2021 · In order to demonstrate the utility provided, we create a high quality UI dataset by manually annotating the most commonly used 29 icons in Rico, a large scale mobile design dataset consisting of 72k UI screenshots. The experimental results indicate the effectiveness of our multi-modal approach.
Multimodal datasets - GitHub
WEBA repository of multimodal datasets for various natural language processing tasks, such as sentiment analysis, machine translation, information retrieval and question answering. The datasets are associated with a position paper on …
Towards Complete Icon Labeling in Mobile Applications - ACM …
WEBAn analysis of a large dataset of 327,879 icons we extracted and annotated from iPhone apps, identifying a highly uneven distribution that 98 common icon types contain 92.8% of icons, while 6.7% of icons belong to 331 long-tail icon types; 0.5% are too niche to …
[2107.04452] Multimodal Icon Annotation For Mobile Applications …
WEBJul 9, 2021 · In order to demonstrate the utility provided, we create a high quality UI dataset by manually annotating the most commonly used 29 icons in Rico, a large scale mobile design dataset consisting of 72k UI screenshots. The experimental results indicate the effectiveness of our multi-modal approach.
WEBFigure 1: Our work proposes a multimodal deep-learning approach for annotating icons on a mobile UI. Given a screenshot and its view hierarchy, the model localizes and classifies 29 icons that are most commonly used in the daily life.
Awesome Multimodal Machine Learning - GitHub
WEBA curated list of research topics, papers, and datasets in multimodal machine learning, with tutorials and courses. Explore the core areas, applications, and challenges of multimodal learning with vision, language, audio, and more.
ICON: Interactive Conversational Memory Network for Multimodal …
WEB4 days ago · To this end, we propose Interactive COnversational memory Network (ICON), a multimodal emotion detection framework that extracts multimodal features from conversational videos and hierarchically models the self- and inter-speaker emotional influences into global memories.
Multimodal Icon Annotation For Mobile Applications - DeepAI
WEBJul 9, 2021 · In order to demonstrate the utility provided, we create a high quality UI dataset by manually annotating the most commonly used 29 icons in Rico, a large scale mobile design dataset consisting of 72k UI screenshots. The experimental results indicate the effectiveness of our multi-modal approach.
Multimodal Icon Annotation For Mobile Applications
WEBJul 9, 2021 · In order to demonstrate the utility provided, we create a high quality UI dataset by manually annotating the most commonly used 29 icons in Rico, a large scale mobile design dataset...
GitHub - multimodal/multimodal: A collection of multimodal datasets ...
WEBA collection of multimodal datasets, and visual features for VQA and captionning in pytorch. Just run "pip install multimodal" - multimodal/multimodal