Abstract: To address the performance degradation of existing eye movement event classification models under noise interference, this paper proposes an iTransformer architecture that integrates ...
Abstract: Deep learning models have shown impressive performance across a range of computer vision tasks. However, their lack of transparency limits their adoption in tasks where a clear understanding ...
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