Name
Title | ||
|---|---|---|
Toward Fast and Accurate Vehicle Detection in Aerial Images Using Coupled Region-Based Convolutional Neural Networks. |
Abstract | ||
|---|---|---|
Vehicle detection in aerial images, being an interesting but challenging problem, plays an important role for a wide range of applications. Traditional methods are based on sliding-window search and handcrafted or shallow-learning-based features with heavy computational costs and limited representation power. Recently, deep learning algorithms, especially region-based convolutional neural networks... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/JSTARS.2017.2694890 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Feature extraction,Vehicle detection,Object detection,Training,Proposals,Automobiles | Attribute learning,Computer vision,Object detection,Convolutional neural network,Vehicle detection,Feature extraction,Artificial intelligence,Overfitting,Deep learning,Mathematics,Minimum bounding box | Journal |
Volume | Issue | ISSN |
10 | 8 | 1939-1404 |
Citations | PageRank | References |
17 | 0.81 | 40 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhipeng Deng | 1 | 47 | 2.66 |
| Hao Sun | 2 | 56 | 7.07 |
| Shilin Zhou | 3 | 72 | 13.94 |
| Juanping Zhao | 4 | 18 | 1.50 |
| Huanxin Zou | 5 | 184 | 19.43 |