For Rummikub tile recognition, a logical correction step makes a model trained on 30% of the data match the accuracy of a pure neural model trained on 95%.
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Enhancing Computer Vision with Knowledge: a Rummikub Case Study
For Rummikub tile recognition, a logical correction step makes a model trained on 30% of the data match the accuracy of a pure neural model trained on 95%.