| # RWTH-Weather-Phoenix 2014 | |
| This archive contains two sets of the RWTH-Weather-Phoenix 2014 corpus | |
| 1. the multisigner set | |
| 2. 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 | |