Meta-transfer learning for emotion recognition
CC BY
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Định dạng: | Sách |
Ngôn ngữ: | English |
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Springer
2023
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Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s00521-023-08248-y https://dlib.phenikaa-uni.edu.vn/handle/PNK/8280 |
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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 |
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1764177437571153920 |
score |
8.891787 |