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RWTH-Weather-Phoenix 2014
This archive contains two sets of the RWTH-Weather-Phoenix 2014 corpus
- the multisigner set
- the signer independent set.
It is released under non-commercial cc 4.0 license with attribution (see attachment)
If you use this data in your research, please cite:
O. Koller, J. Forster, and H. Ney. Continuous sign language recognition: Towards large vocabulary statistical recognition systems handling multiple signers. Computer Vision and Image Understanding, volume 141, pages 108-125, December 2015.
and
Koller, Zargaran, Ney. "Re-Sign: Re-Aligned End-to-End Sequence Modeling with Deep Recurrent CNN-HMMs" in CVPR 2017, Honululu, Hawaii, USA.
See README files in subfolders for more information.
CHANGELOG
- v1 Aug 20 2016, initial version of the archive. multisigner setup
- v2 Apr 21 2017, signer independent SI5 subset, added caffe models and automatic frame-alignment
- v3 Nov 3 2017, added language models and complete set of hyper parameters to reproduce the published results
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