Sketch Input Method Editor: A Comprehensive Dataset and Efficient Methodology for Systematic Sketch Recognition and Segmentation

The core message of this article is to present a comprehensive dataset of sketches from a professional C4I system and propose a simultaneous recognition and segmentation network with multilevel supervision, which enhances the interpretability and practicality of the system. The network is further equipped with few-shot domain adaptation and class-incremental learning to improve its adaptability to new users and extendibility to new task-specific sketches.