Related papers: Continuous Learning Based Novelty Aware Emotion Recognition System

Continuous Learning Based Novelty Aware Emotion Recognition System

URL: http://arxiv.org/abs/2306.08733v1
Date: Wed, 14 Jun 2023 20:34:07 GMT
Title: Continuous Learning Based Novelty Aware Emotion Recognition System
Authors: Mijanur Palash, Bharat Bhargava
Abstract summary: Current works in human emotion recognition follow the traditional closed learning approach governed by rigid rules without any consideration of novelty. In this work, we propose a continuous learning based approach to deal with novelty in the automatic emotion recognition task.
Score: 0.0
License: http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract: Current works in human emotion recognition follow the traditional closed learning approach governed by rigid rules without any consideration of novelty. Classification models are trained on some collected datasets and expected to have the same data distribution in the real-world deployment. Due to the fluid and constantly changing nature of the world we live in, it is possible to have unexpected and novel sample distribution which can lead the model to fail. Hence, in this work, we propose a continuous learning based approach to deal with novelty in the automatic emotion recognition task.

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