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A Fine-Grained Visual Attention Approach for Fingerspelling Recognition in the Wild
[article]
2021
arXiv
pre-print
Fingerspelling in sign language has been the means of communicating technical terms and proper nouns when they do not have dedicated sign language gestures. Automatic recognition of fingerspelling can help resolve communication barriers when interacting with deaf people. The main challenges prevalent in fingerspelling recognition are the ambiguity in the gestures and strong articulation of the hands. The automatic recognition model should address high inter-class visual similarity and high
arXiv:2105.07625v2
fatcat:lfvjwjvo5je3vn74mvjaoxocdm