Sketch-R2CNN : An RNN-Rasterization-CNN Architecture for Vector Sketch Recognition
Sketches in existing large-scale datasets like the recent QuickDraw collection are often stored in a vector format, with strokes consisting of sequentially sampled points. However, most existing sketch recognition methods rasterize vector sketches as binary images and then adopt image classification...
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Détails bibliographiques
| Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 27(2021), 9 vom: 15. Sept., Seite 3745-3754
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| Auteur principal: |
Li, Lei
(Auteur) |
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| Autres auteurs: |
Zou, Changqing,
Zheng, Youyi,
Su, Qingkun,
Fu, Hongbo,
Tai, Chiew-Lan |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2021
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| Accès à la collection: | IEEE transactions on visualization and computer graphics
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| Sujets: | Journal Article |
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