Topic Detection in Continuous Sign Language Videos

Welcome to the code repository for the extended abstract titled Topic Detection in Continuous Sign Language Videos, which was presented in the AVA: Accessibility, Vision, and Autonomy Meet CVPR 2022 Workshop.

               

For instructions on how to run our training pipelines, go to ./examples/SL_topic_detection/ in this repo.

This repo is a fork of the original Fairseq repository that we extended for our work.

---

Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks.

Join the fairseq community

• Twitter: https://twitter.com/fairseq
• Facebook page: https://www.facebook.com/groups/fairseq.users
• Google group: https://groups.google.com/forum/#!forum/fairseq-users

License

fairseq(-py) is MIT-licensed.

Citation to our extended abstract

@inproceedings{topicDetectionAVAW2022,
  title = {Topic Detection in Continuous Sign Language Videos},
  author = {Alvaro Budria and Laia Tarrés and Gerard I. Gállego and Francesc Moreno-Noguer and Jordi Torres and Xavier Giró-i-Nieto},
  booktitle = {AVA: Accessibility, Vision, and Autonomy Meet workshop at CVPR},
  year = {2022},
}

Citation to Fairseq

@inproceedings{ott2019fairseq,
  title = {fairseq: A Fast, Extensible Toolkit for Sequence Modeling},
  author = {Myle Ott and Sergey Edunov and Alexei Baevski and Angela Fan and Sam Gross and Nathan Ng and David Grangier and Michael Auli},
  booktitle = {Proceedings of NAACL-HLT 2019: Demonstrations},
  year = {2019},
}