A comprehensive review of recent advances on deep vision systems

@article{Abbas2018ACR,
  title={A comprehensive review of recent advances on deep vision systems},
  author={Qaisar Abbas and Mostafa E. A. Ibrahim and M. Arfan Jaffar},
  journal={Artificial Intelligence Review},
  year={2018},
  volume={52},
  pages={39-76}
}
Abstract Real-time video objects detection, tracking, and recognition are challenging issues due to the real-time processing requirements of the machine learning algorithms. [...] Key ResultFinally, the paper discusses the challenges of applying DL for real-time video processing and draw some directions for the future of DL algorithms. Expand Abstract

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References

Publications referenced by this paper.
SHOWING 1-10 OF 87 REFERENCES

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2014
VIEW 12 EXCERPTS
HIGHLY INFLUENTIAL

Vehicle Detection in Aerial Surveillance Using Dynamic Bayesian Networks

  • IEEE Transactions on Image Processing
  • 2012
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

2016) A deep learning-based approach to progressive vehicle re-identification

X Liu, LiuW, T Mei, H Ma
  • Proceedings of 14th European conference on computer vision (ECCV’2016),
  • 2016
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

Convolutional neural net bagging for online visual tracking

  • Computer Vision and Image Understanding
  • 2016
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

End-to-end people detection in crowded scenes

M Andriluka, R Stewart, AY Ng
  • 2016
VIEW 9 EXCERPTS
HIGHLY INFLUENTIAL

Moving object recognition using multi-view three-dimensional convolutional neural networks

  • Neural Computing and Applications
  • 2016
VIEW 13 EXCERPTS
HIGHLY INFLUENTIAL

Multimed Tools Appl. https://doi.org/10.1007/s11042-017-5438-7 Alotaibi A, Mahmood A (2016) Deep face liveness detection based on nonlinear diffusion using convolution

J algorithms
  • 2016
VIEW 10 EXCERPTS
HIGHLY INFLUENTIAL