Name
Title | ||
|---|---|---|
RAODAT: An Energy-Efficient Reconfigurable AI-based Object Detection and Tracking Processor with Online Learning |
Abstract | ||
|---|---|---|
Smart robots (e.g. drones) for object detection & tracking demand for embedded intelligent processors. Neural network (NN) processors have been designed to accelerate NN for pattern recognition [1] [2]. However, these designs lack special processing engines for object detection & tracking such as bounding box (bbox) calculation and selection. Also, their architectures are designed for gene... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/A-SSCC53895.2021.9634785 | 2021 IEEE Asian Solid-State Circuits Conference (A-SSCC) |
Keywords | DocType | ISBN |
Program processors,Object detection,Artificial neural networks,Computer architecture,Search problems,Solid state circuits,Object tracking | Conference | 978-1-6654-4350-0 |
Citations | PageRank | References |
1 | 0.38 | 0 |
Authors | ||
13 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuchuan Gong | 1 | 1 | 0.38 |
| Qingsong Liu | 2 | 4 | 2.44 |
| Luying Que | 3 | 1 | 0.38 |
| Conghan Jia | 4 | 1 | 0.38 |
| Jiahui Huang | 5 | 12 | 1.26 |
| Ye Liu | 6 | 1 | 0.38 |
| Jiayan Gan | 7 | 1 | 0.38 |
| Yuxiang Xie | 8 | 1 | 0.38 |
| Yong Zhou | 9 | 1 | 0.38 |
| Lili Liu | 10 | 1 | 1.06 |
| Xiaoqiang Xiang | 11 | 1 | 0.38 |
| Liang Chang | 12 | 1 | 0.72 |
| Jun Zhou | 13 | 1 | 0.38 |