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Transferring Cross-domain Knowledge for Video Sign Language Recognition
[article]
2020
arXiv
pre-print
Word-level sign language recognition (WSLR) is a fundamental task in sign language interpretation. It requires models to recognize isolated sign words from videos. However, annotating WSLR data needs expert knowledge, thus limiting WSLR dataset acquisition. On the contrary, there are abundant subtitled sign news videos on the internet. Since these videos have no word-level annotation and exhibit a large domain gap from isolated signs, they cannot be directly used for training WSLR models. We
arXiv:2003.03703v2
fatcat:5o7q6fd6pbcufbmzad5q4in2iy