A pseudo-labeling, pose-based Transformer gives accuracy close to or slightly better than supervised training on WLASL-100, but the reported improvements are small, noisy, and not statistically tested.
A Comprehensive Study on Deep Learning-based Methods for Sign Language Recognition
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SSLR: A Semi-Supervised Learning Method for Isolated Sign Language Recognition
A pseudo-labeling, pose-based Transformer gives accuracy close to or slightly better than supervised training on WLASL-100, but the reported improvements are small, noisy, and not statistically tested.