Sketchformer++: A Hierarchical Transformer Architecture for Vector Sketch Representation
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2095-8_2
Reference38 articles.
1. Bhunia, A.K., Chowdhury, P.N., Yang, Y., Hospedales, T.M., Xiang, T., Song, Y.Z.: Vectorization and rasterization: self-supervised learning for sketch and handwriting. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 5672–5681 (2021)
2. Cao, Y., Wang, H., Wang, C., Li, Z., Zhang, L., Zhang, L.: MindFinder: interactive sketch-based image search on millions of images. In: Proceedings of the 18th ACM International Conference on Multimedia, pp. 1605–1608 (2010)
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4. Cheng, S., Ren, Y., Yang, Y.: SSR-GNNs: stroke-based sketch representation with graph neural networks. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 5131–5141 (2022)
5. Douglas, D.H., Peucker, T.K.: Algorithms for the reduction of the number of points required to represent a digitized line or its caricature. Cartographica Int. J. Geographic Inf. Geovisualization 10(2), 112–122 (1973)
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