Name
Title | ||
|---|---|---|
LOROD: Fully Convolutional Network for Realtime Multi-scale Object Detection Algorithm |
Abstract | ||
|---|---|---|
Although great progress has been made in object detection, especially face detection, in recent years, one of the remaining difficult problems is maintaining excellent performance while detecting in real-time. To address this problem, we propose an effective single-stage object detector named Look Once Rapid Object Detector (LOROD), which uses fully convolutional layers. In particular, our framewo... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/SWC50871.2021.00086 | 2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI) |
Keywords | DocType | ISBN |
Real-time,Fully Convolutional Network,ResBlocks,Mult-scale,Dense Connection | Conference | 978-1-6654-1236-0 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shaoqi Hou | 1 | 0 | 1.35 |
| Chao Li | 2 | 0 | 0.68 |
| Xueting Liu | 3 | 0 | 0.34 |
| Yuhao Zeng | 4 | 0 | 0.34 |
| Wenyi Du | 5 | 0 | 0.68 |
| Guangqiang Yin | 6 | 2 | 5.79 |