{ "id": 412646, "title": "Related Papers: Fingerspelling Sign Language Recognition", "url": "/competitions/asl-fingerspelling/discussion/412646", "author_name": "AC", "post_date": "2023-05-24T15:40:20.972000", "votes": 9, "comment_count": 0, "views": 0, "content": "
    \n

  1. Fingerspelling Detection in American Sign Language. CVPR 2021. https://arxiv.org/abs/2104.01291

    2. \n

  2. Deep Learning for American Sign Language Fingerspelling Recognition System. ICT.https://ieeexplore.ieee.org/xpl/conhome/8786770/proceeding

    3. \n

  3. American sign language fingerspelling recognition with phonological feature-based tandem models. IEEE Spoken Language Technology Workshop. https://ieeexplore.ieee.org/xpl/conhome/6416134/proceeding.

    4. \n

  4. Fingerspelling recognition in the wild with iterative visual attention. *ICCV 2019. *https://openaccess.thecvf.com/content_ICCV_2019/html/Shi_Fingerspelling_Recognition_in_the_Wild_With_Iterative_Visual_Attention_ICCV_2019_paper.html

    5. \n
", "messages": [ { "id": 2272588, "postDate": "2023-05-24T15:40:20.973Z", "content": "
    \n

  1. Fingerspelling Detection in American Sign Language. CVPR 2021. https://arxiv.org/abs/2104.01291

    2. \n

  2. Deep Learning for American Sign Language Fingerspelling Recognition System. ICT.https://ieeexplore.ieee.org/xpl/conhome/8786770/proceeding

    3. \n

  3. American sign language fingerspelling recognition with phonological feature-based tandem models. IEEE Spoken Language Technology Workshop. https://ieeexplore.ieee.org/xpl/conhome/6416134/proceeding.

    4. \n

  4. Fingerspelling recognition in the wild with iterative visual attention. *ICCV 2019. *https://openaccess.thecvf.com/content_ICCV_2019/html/Shi_Fingerspelling_Recognition_in_the_Wild_With_Iterative_Visual_Attention_ICCV_2019_paper.html

    5. \n
", "rawMarkdown": "1. Fingerspelling Detection in American Sign Language. *CVPR 2021*. [https://arxiv.org/abs/2104.01291](https://arxiv.org/abs/2104.01291)\n\n2. Deep Learning for American Sign Language Fingerspelling Recognition System. *ICT.*[https://ieeexplore.ieee.org/xpl/conhome/8786770/proceeding](https://ieeexplore.ieee.org/xpl/conhome/8786770/proceeding)\n\n3. American sign language fingerspelling recognition with phonological feature-based tandem models. *IEEE Spoken Language Technology Workshop*. [https://ieeexplore.ieee.org/xpl/conhome/6416134/proceeding](https://ieeexplore.ieee.org/xpl/conhome/6416134/proceeding).\n\n4. Fingerspelling recognition in the wild with iterative visual attention. *ICCV 2019. *[https://openaccess.thecvf.com/content_ICCV_2019/html/Shi_Fingerspelling_Recognition_in_the_Wild_With_Iterative_Visual_Attention_ICCV_2019_paper.html](https://openaccess.thecvf.com/content_ICCV_2019/html/Shi_Fingerspelling_Recognition_in_the_Wild_With_Iterative_Visual_Attention_ICCV_2019_paper.html)", "votes": 9 } ], "comments": [], "raw_markdown_by_id": { "2272588": "1. Fingerspelling Detection in American Sign Language. *CVPR 2021*. [https://arxiv.org/abs/2104.01291](https://arxiv.org/abs/2104.01291)\n\n2. Deep Learning for American Sign Language Fingerspelling Recognition System. *ICT.*[https://ieeexplore.ieee.org/xpl/conhome/8786770/proceeding](https://ieeexplore.ieee.org/xpl/conhome/8786770/proceeding)\n\n3. American sign language fingerspelling recognition with phonological feature-based tandem models. *IEEE Spoken Language Technology Workshop*. [https://ieeexplore.ieee.org/xpl/conhome/6416134/proceeding](https://ieeexplore.ieee.org/xpl/conhome/6416134/proceeding).\n\n4. Fingerspelling recognition in the wild with iterative visual attention. *ICCV 2019. *[https://openaccess.thecvf.com/content_ICCV_2019/html/Shi_Fingerspelling_Recognition_in_the_Wild_With_Iterative_Visual_Attention_ICCV_2019_paper.html](https://openaccess.thecvf.com/content_ICCV_2019/html/Shi_Fingerspelling_Recognition_in_the_Wild_With_Iterative_Visual_Attention_ICCV_2019_paper.html)" } }