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Meta-transfer learning for emotion recognition

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Bibliographic Details
Main Authors: Nguyen, Dung, Nguyen, Duc Thanh, Sridha, Sridharan
Format: Book
Language:English
Published: Springer 2023
Subjects:
Meta-transfer learning
Online Access:https://link.springer.com/article/10.1007/s00521-023-08248-y
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8280
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spelling oai:localhost:PNK-82802023-04-25T06:47:31Z Meta-transfer learning for emotion recognition Nguyen, Dung Nguyen, Duc Thanh Sridha, Sridharan Meta-transfer learning CC BY Deep learning has been widely adopted in automatic emotion recognition and has lead to significant progress in the field. However, due to insufficient training data, pre-trained models are limited in their generalisation ability, leading to poor performance on novel test sets. To mitigate this challenge, transfer learning performed by fine-tuning pr-etrained models on novel domains has been applied. However, the fine-tuned knowledge may overwrite and/or discard important knowledge learnt in pre-trained models. In this paper, we address this issue by proposing a PathNet-based meta-transfer learning method that is able to (i) transfer emotional knowledge learnt from one visual/audio emotion domain to another domain and (ii) transfer emotional knowledge learnt from multiple audio emotion domains to one another to improve overall emotion recognition accuracy. 2023-04-25T06:47:31Z 2023-04-25T06:47:31Z 2023 Book https://link.springer.com/article/10.1007/s00521-023-08248-y https://dlib.phenikaa-uni.edu.vn/handle/PNK/8280 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Meta-transfer learning
spellingShingle Meta-transfer learning
Nguyen, Dung
Nguyen, Duc Thanh
Sridha, Sridharan
Meta-transfer learning for emotion recognition
description CC BY
format Book
author Nguyen, Dung
Nguyen, Duc Thanh
Sridha, Sridharan
author_facet Nguyen, Dung
Nguyen, Duc Thanh
Sridha, Sridharan
author_sort Nguyen, Dung
title Meta-transfer learning for emotion recognition
title_short Meta-transfer learning for emotion recognition
title_full Meta-transfer learning for emotion recognition
title_fullStr Meta-transfer learning for emotion recognition
title_full_unstemmed Meta-transfer learning for emotion recognition
title_sort meta-transfer learning for emotion recognition
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s00521-023-08248-y
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8280
_version_ 1764177437571153920
score 8.893527

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