Name
Title | ||
|---|---|---|
A Triplet network framework based automatic assessment of simulation quality for respiratory droplet propagation |
Abstract | ||
|---|---|---|
•A Triplet network framework with attentive temporal pooling is proposed, which is the first trial to assess the quality of simulation for droplet respiratory propagation automatically.•A regularization constraint for triplet loss boosts the performance.•The proposed approach has generalization for other applications such as 3D object retrieval. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.patcog.2021.108060 | Pattern Recognition |
Keywords | DocType | Volume |
Simulation quality assessment,Respiratory droplet propagation,Triplet network,Multi-scale CNN-BiLSTM,Attentive temporal pooling | Journal | 119 |
Issue | ISSN | Citations |
1 | 0031-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinlong Hu | 1 | 0 | 0.34 |
| Songhua Xu | 2 | 6 | 5.51 |
| Xiangdong Ding | 3 | 0 | 0.34 |