The paper reports state-of-the-art WERs of 13.07% (signer-independent) and 47.78% (unseen sentences) on Isharah-1000 using a conformer and a multi-scale fusion transformer.
Slow- fast network for continuous sign language recognition
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A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition
The paper reports state-of-the-art WERs of 13.07% (signer-independent) and 47.78% (unseen sentences) on Isharah-1000 using a conformer and a multi-scale fusion transformer.