| Paper Abstract and Keywords |
| Presentation |
2022-02-21 14:25
A Note on Visual Sentiment Prediction Based on Few-shot Learning using Knowledge Distillation
Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
The prediction of visual sentiment can be useful to understand users' behaviors. Emotion theories underlying the sentiment labels are different for each dataset. Thus, previous visual sentiment prediction cannot predict the sentiment labels that are different types from those of training data. To handle sentiment labels defined by different emotion theories, this paper proposes a visual sentiment prediction method based on few-shot learning using knowledge distillation. Concretely, we train a convolutional neural network for few-shot learning as a teacher model using an auxiliary loss in self-supervised learning. Furthermore, we train a student model using knowledge distillation, which improves the generalization ability of the model. Moreover, we use the student model to predict the sentiment labels of new data that have different sentiment labels from the training data. We have confirmed the effectiveness of the proposed method through experiments using open datasets. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
knowledge distillation / visual sentiment prediction / few-shot learning / emotion theory / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 46, no. 6, ME2022-49, pp. 171-175, Feb. 2022. |
| Paper # |
ME2022-49 |
| Date of Issue |
2022-02-14 (MMS, ME, AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
AIT ME MMS IEICE-IE IEICE-ITS |
| Conference Date |
2022-02-21 - 2022-02-22 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
ME |
| Conference Code |
2022-02-AIT-ME-MMS-IE-ITS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Note on Visual Sentiment Prediction Based on Few-shot Learning using Knowledge Distillation |
| Sub Title (in English) |
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| Keyword(1) |
knowledge distillation |
| Keyword(2) |
visual sentiment prediction |
| Keyword(3) |
few-shot learning |
| Keyword(4) |
emotion theory |
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| 1st Author's Name |
Yingrui Ye |
| 1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 2nd Author's Name |
Yuya Moroto |
| 2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 3rd Author's Name |
Keisuke Maeda |
| 3rd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 4th Author's Name |
Takahiro Ogawa |
| 4th Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 5th Author's Name |
Miki Haseyama |
| 5th Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2022-02-21 14:25:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
MMS2022-24, ME2022-49, AIT2022-24 |
| Volume (vol) |
vol.46 |
| Number (no) |
no.6 |
| Page |
pp.171-175 |
| #Pages |
5 |
| Date of Issue |
2022-02-14 (MMS, ME, AIT) |