Open Access
Issue
JNWPU
Volume 38, Number 6, December 2020
Page(s) 1345 - 1351
DOI https://doi.org/10.1051/jnwpu/20203861345
Published online 02 February 2021
  1. Redmon J, Divvala S, Girshick R, et al. You Only Look Once: Unified, Real-Time Object Detection[C]//IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, 2016: 779–788 [Article] [Google Scholar]
  2. Ren S, He K, Girshick R, et al. Faster RCNN:Towards Real-Time Object Detection with Region Proposal Networks[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2017, 39 (6): 1137– 1149 [Article] [CrossRef] [Google Scholar]
  3. Zhou Z, Feng J. Deep Forest: Towards an Alternative to Deep Neural Networks[C]//Proc 26th Int Joint Conf Artif Intell, Melbourne, Australia, 2017: 3553–3559 [Article] [Google Scholar]
  4. Uijlings J R R, Vandesande K E A, Gevers T, et al. Selective Search for Object Recognition[J]. Int J Comput Vis, 2013, 104 (2): 154– 171 [Article] [CrossRef] [Google Scholar]
  5. Mueller M, Smith N, Ghanem B. A Benchmark and Simulator for UAV Tracking[C]//European Conference on Computer Vision, 2016 [Article] [Google Scholar]
  6. Liu K, Mattyus G. DLR 3K Munich Vehicle Aerial Image Dataset[EB/OL]. (2015-12-31)[2020-01-05]. [Article] [Google Scholar]
  7. Liu K, Mattyus G. Fast Multiclass Vehicle Detection on Aerial Images[J]. IEEE Geosci Remote Sens Lett, 2015, 12 (9): 1938– 1942 [Article] [CrossRef] [Google Scholar]
  8. Deng Z, Hao S, Zhou S, et al. Toward Fast and Accurate Vehicle Detection in Aerial Images Using Coupled Region-Based Convolutional Neural Networks[J]. IEEE J Sel Topics Appl Earth Observ Remote Sens, 2017, 10 (8): 3652– 3664 [Article] [CrossRef] [Google Scholar]
  9. Logoglu K B, et al. Feature-Based Efficient Moving Object Detection for Low-Altitude Aerial Platforms[C]//IEEE International Conference on Computer Vision Workshops, 2017: 2119–2128 [Google Scholar]
  10. Tang T, Zhou S, Deng Z, et al. Vehicle Detection in Aerial Images Based on Region Convolutional Neural Networks and Hard Negative Example Mining[J]. Sensors, 2017, 17 (2): 336– 352 [Article] [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.