Name
Abstract | ||
|---|---|---|
Image resolution has a significant effect on the accuracy and computational, storage, and bandwidth costs of computer vision model inference. These costs are exacerbated when scaling out models to large inference serving systems and make image resolution an attractive target for optimization. However, the choice of resolution inherently introduces additional tightly coupled choices, such as image ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IISWC53511.2021.00027 | 2021 IEEE International Symposium on Workload Characterization (IISWC) |
Keywords | DocType | ISBN |
Computer vision,Image resolution,Costs,Computational modeling,Crops,Bandwidth,Convolutional neural networks | Conference | 978-1-6654-4173-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eddie Q. Yan | 1 | 0 | 1.01 |
| Liang Luo | 2 | 0 | 0.34 |
| Luis Ceze | 3 | 2183 | 125.93 |