Name
Abstract | ||
|---|---|---|
Vehicle detection in images from unmanned aerial vehicles (UAVs) plays an important role in traffic surveillance and urban planning due to the popularity of UAVs. However, the class imbalance problem is an important factor that restricts the performance of vehicle detectors. There are two types of class imbalance in UAV images, i.e., foreground-background imbalance and foreground–foreground imbala... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TAI.2021.3081057 | IEEE Transactions on Artificial Intelligence |
Keywords | DocType | Volume |
Detectors,Vehicle detection,Training,Drones,Artificial intelligence,Surveillance,Semantics | Journal | 2 |
Issue | Citations | PageRank |
3 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xianghui Li | 1 | 2 | 1.73 |
| Xinde Li | 2 | 50 | 11.00 |
| Zhijun Li | 3 | 939 | 91.73 |
| Xinran Xiong | 4 | 0 | 0.34 |
| md omar khyam | 5 | 1 | 0.68 |
| Changyin Sun | 6 | 2002 | 157.17 |