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Found 3 papers, 1 papers with code
Neural Network Architecture for Database Augmentation Using Shared Features
The popularity of learning from data with machine learning and neural networks has lead to the creation of many new datasets for almost every problem domain.
Multimodal Classification: Current Landscape, Taxonomy and Future Directions
Multimodal classification research has been gaining popularity in many domains that collect more data from multiple sources including satellite imagery, biometrics, and medicine.
Sketch2Code: Transformation of Sketches to UI in Real-time Using Deep Neural Network
In this paper, we put forward a novel approach wherein we employ a Deep Neural Network that is trained on our custom database of such sketches to detect UI elements in the input sketch.
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