Name
Abstract | ||
|---|---|---|
The 55th Design Automation Conference (DAC) held its first System Design Contest (SDC) in 2018. SDC'18 features a lower power object detection challenge (LPODC) on designing and implementing novel algorithms based object detection in images taken from unmanned aerial vehicles (UAV). The dataset includes 95 categories and 150k images, and the hardware platforms include Nvidia's TX2 and Xilinx's PYNQ Z1. DAC-SDC'18 attracted more than 110 entries from 12 countries. This paper presents in detail the dataset and evaluation procedure. It further discusses the methods developed by some of the entries as well as representative results. The paper concludes with directions for future improvements. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TPAMI.2019.2932429 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | Field | DocType |
Dataset,benchmark,object detection,unmanned aerial vehicles,low power | Object detection,Computer science,CONTEST,Systems design,Electronic design automation,Artificial intelligence,Computer hardware,Machine learning | Journal |
Volume | Issue | ISSN |
43 | 2 | 0162-8828 |
Citations | PageRank | References |
4 | 0.40 | 9 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaowei Xu | 1 | 6441 | 683.89 |
| Xinyi Zhang | 2 | 19 | 2.38 |
| Bei Yu | 3 | 656 | 74.07 |
| Xiaoyu Sun | 4 | 95 | 16.54 |
| Christopher Rowen | 5 | 4 | 0.40 |
| Jingtong Hu | 6 | 963 | 76.16 |
| Yiyu Shi | 7 | 553 | 83.22 |