Zero-Shot Visual Sentiment Prediction via Cross-Domain Knowledge Distillation

Zero-Shot Visual Sentiment Prediction via Cross-Domain Knowledge Distillation

There are various sentiment theories for categorizing human sentiments into several discrete sentiment categories, which means that the theory used for training sentiment prediction methods does not always match that used in the test phase. As a solution to this problem, zero-shot visual sentiment p...

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Bibliographic Details
Main Authors: Yuya Moroto, Yingrui Ye, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Signal Processing
Subjects:
Visual sentiment prediction
zero-shot learning
knowledge distillation
cross-domain analysis
text analysis
Online Access:https://ieeexplore.ieee.org/document/10363382/

Internet

https://ieeexplore.ieee.org/document/10363382/

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