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Artificial emotional introspection improves learning for facial emotion recognition

2026-03-19

Abstract excerpt

<title>Abstract</title> <p>While facial emotion recognition (FER) systems have advanced significantly, they remain constrained by conventional training paradigms that rely solely on low-level optimization signals, without any mechanism for the model to reflect on or adaptively respond to its own learning experience. Here, we integrate the I-Center, a computational framework for artificial introspection, into the...

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Literature Corpus work
ed4039f8-5a75-53c7-bf96-ce66ec4fbbec
DOI
10.21203/rs.3.rs-9047312/v1
Open publication

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Artificial emotional introspection improves learning for facial emotion recognitionDOI 10.21203/rs.3.rs-9047312/v1
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