Abstract
For a facial expression recognition model to retain its high robustness continuously along the time axis over a long period of time, the classifier created during the initial stage should evolve and gradually become adaptive over time. We propose a method for creating a facial expression recognition model that can offer such an adaptive learning capability.
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