dnn_objdetect.bib 1.2 KB

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  1. @article{SqueezeNet,
  2. Author = {Forrest N. Iandola and Song Han and Matthew W. Moskewicz and Khalid Ashraf and William J. Dally and Kurt Keutzer},
  3. Title = {SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and $<$0.5MB model size},
  4. Journal = {arXiv:1602.07360},
  5. Year = {2016}
  6. }
  7. @inproceedings{squeezedet,
  8. Author = {Bichen Wu and Forrest Iandola and Peter H. Jin and Kurt Keutzer},
  9. Title = {SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving},
  10. Journal = {arXiv:1612.01051},
  11. Year = {2016}
  12. }
  13. @inproceedings{imagenet_cvpr09,
  14. AUTHOR = {Deng, J. and Dong, W. and Socher, R. and Li, L.-J. and Li, K. and Fei-Fei, L.},
  15. TITLE = {{ImageNet: A Large-Scale Hierarchical Image Database}},
  16. BOOKTITLE = {CVPR09},
  17. YEAR = {2009},
  18. BIBSOURCE = "http://www.image-net.org/papers/imagenet_cvpr09.bib"}
  19. @Article{Everingham10,
  20. author = "Everingham, M. and Van~Gool, L. and Williams, C. K. I. and Winn, J. and Zisserman, A.",
  21. title = "The Pascal Visual Object Classes (VOC) Challenge",
  22. journal = "International Journal of Computer Vision",
  23. volume = "88",
  24. year = "2010",
  25. number = "2",
  26. month = jun,
  27. pages = "303--338",
  28. }