SketchSegNet+: An End-to-End Learning of RNN for Multi-Class Sketch Semantic Segmentation
We investigate the problem of stroke-level sketch segmentation, which is to automatically assign strokes of a given sketch with semantic labels. Solving the problem of sketch segmentation opens the door for fine-grained sketch interpretation, which can benefit many novel sketch-based applications, i...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8766108/ |