Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data is Continuous and Weakly Labelled

@article{Koller2016DeepHH,
  title={Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data is Continuous and Weakly Labelled},
  author={Oscar Koller and Hermann Ney and Richard Bowden},
  journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2016},
  pages={3793-3802}
}
This work presents a new approach to learning a framebased classifier on weakly labelled sequence data by embedding a CNN within an iterative EM algorithm. This allows the CNN to be trained on a vast number of example images when only loose sequence level information is available for the source videos. Although we demonstrate this in the context of hand shape recognition, the approach has wider application to any video recognition task where frame level labelling is not available. The iterative… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 41 references

The significance of facial features for automatic sign language recognition

2008 8th IEEE International Conference on Automatic Face & Gesture Recognition • 2008
View 5 Excerpts
Highly Influenced

Ordbog over Dansk Tegnsprog

Jette H. Kristoffersen, Thomas Troelsgård, +4 authors Maja Toft
http://www. tegnsprog.dk/, • 2016
View 1 Excerpt

Combining discriminative and model based approaches for hand pose estimation

2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) • 2015
View 1 Excerpt

Going deeper with convolutions

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2015
View 1 Excerpt

The Online Dictionary of New Zealand Sign Language

D. McKee, R. McKee, S. P. Alexander, L. Pivac
http: //nzsl.vuw.ac.nz/, • 2015
View 1 Excerpt

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