Name
Title | ||
|---|---|---|
Sketch Augmentation-driven Shape Retrieval Learning Framework Based on Convolutional Neural Networks. |
Abstract | ||
|---|---|---|
In this article, we present a deep learning approach to sketch-based shape retrieval that incorporates a few novel techniques to improve the quality of the retrieval results. First, to address the problem of scarcity of training sketch data, we present a sketch augmentation method that more closely mimics human sketches compared to simple image transformation. Our method generates more sketches fr... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TVCG.2020.2975504 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | DocType | Volume |
Shape,Three-dimensional displays,Two dimensional displays,Solid modeling,Training,Task analysis,Neural networks | Journal | 27 |
Issue | ISSN | Citations |
8 | 1077-2626 | 0 |
PageRank | References | Authors |
0.34 | 21 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wen Zhou | 1 | 0 | 0.34 |
| Jinyuan Jia | 2 | 149 | 32.76 |
| Wenying Jiang | 3 | 0 | 0.68 |
| Chenxi Huang | 4 | 10 | 3.17 |