A sign language recognition model using context-aware dynamic convolutions and subnetwork CTC regularization reports new state-of-the-art word error rates on PHOENIX14, PHOENIX14-T, and CSL-Daily.
Sign language and linguistic universals, wendy sandler and diane lillo-martin,
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DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition
A sign language recognition model using context-aware dynamic convolutions and subnetwork CTC regularization reports new state-of-the-art word error rates on PHOENIX14, PHOENIX14-T, and CSL-Daily.