An ensemble of three Video Swin Transformer sizes with RGB and depth fusion achieves 20.29% RGB and 24.53% RGB-D top-1 accuracy, ranking third in the CV-ISLR challenge.
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Exploiting Ensemble Learning for Cross-View Isolated Sign Language Recognition
An ensemble of three Video Swin Transformer sizes with RGB and depth fusion achieves 20.29% RGB and 24.53% RGB-D top-1 accuracy, ranking third in the CV-ISLR challenge.