Name
Title | ||
|---|---|---|
An Efficient Implementation of FPGA-based Object Detection Using Multi-scale Attention |
Abstract | ||
|---|---|---|
Convolutional neural network (CNN)-based object detection has become an important task in image pre-processing for security video surveillance cameras. Since CNNs require a large amount of computational power, the approach of FPGA-based implementation has emerged as a promising solution owing to its energy efficiency and processing speed. The single-shot multibox detector (SSD) is suitable for thi... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MWSCAS47672.2021.9531732 | 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) |
Keywords | DocType | ISSN |
Access control,Quantization (signal),Memory management,Object detection,Video surveillance,Cameras,Hardware | Conference | 1548-3746 |
ISBN | Citations | PageRank |
978-1-6654-2461-5 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Masanori Furuta | 1 | 22 | 3.56 |
| Koichiro Ban | 2 | 43 | 7.32 |
| Daisuke Kobayashi | 3 | 45 | 8.28 |
| Tomoyuki Shibata | 4 | 58 | 4.77 |