Multigraph Transformer for Free-Hand Sketch Recognition
نویسندگان
چکیده
منابع مشابه
Free-hand Sketch Recognition Classification
People use sketches to express and record their ideas. Free-hand sketches are usually drawn by non-artists using touch sensitive devices rather than purpose-made equipments; thus, making them often highly abstract and exhibit large intraclass deformations. This makes automatic recognition of sketches more challenging than other areas of image classification because sketches of the same object c...
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Natural interfaces for CAD applications based on sketching devices have been explored to some extent. Former approaches used techniques to perform the recognition process like invariant features extracted with image analysis techniques as neural networks, statistical learning or fuzzy logic. Currently, more flexible and robust techniques are being introduced, which consider other information as...
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Free-hand sketch recognition has become increasingly popular due to the recent expansion of portable touchscreen devices. However, the problem is non-trivial due to the complexity of internal structures that leads to intra-class variations, coupled with the sparsity in visual cues that results in inter-class ambiguities. In order to address the structural complexity, a novel structured represen...
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In this paper, we study the problem of how to segment a freehand sketch at the object level. By carefully considering the basic principles of human perceptual organization, a real-time solution is presented to automatically segment a user’s sketch during his/her drawing. First, a graph-based sketch segmentation algorithm is proposed to segment a cluttered sketch into multiple parts based on the...
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Military course-of-action (COA) diagrams are used to depict battle scenarios and include thousands of unique symbols, complete with additional textual and designator modifiers. We have created a real-time sketch recognition interface that recognizes 485 freely-drawn military course-of-action symbols. When the variations (not allowable by other systems) are factored in, our system is several ord...
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ژورنال
عنوان ژورنال: IEEE Transactions on Neural Networks and Learning Systems
سال: 2021
ISSN: 2162-237X,2162-2388
DOI: 10.1109/tnnls.2021.3069230