Emotion Prediction from User-Generated Videos by Emotion Wheel Guided Deep Learning
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Some studies considered using known architectures from object recognition and regarded it as necessary to pre-train these larger models on ImageNet to avoid overfitting the relatively few labeled examples.
“Some considered using known architectures from object recognition [132], [85], [127]. Here, the authors regarded it as necessary to pre-train these larger models on the ImageNet database to avoid overfitting the relatively few labeled examples.”
From Deep learning for human affect recognition: Insights and new developments (2021) · cites this paper as [132]
Knowledge transfer from domains like music and visual object recognition is also possible.
“Knowledge transfer from domains like music [141] and visual object recognition [132], [85] is also possible.”
From Deep learning for human affect recognition: Insights and new developments (2021) · cites this paper as [132]
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Deep learning for human affect recognition: Insights and new developments
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- Authors
- Ho, C.-T., Lin, Y.-H., & Wu, J.-L.
- Affiliations
- National Taiwan University (TW)
- Corresponding author
- Wu, Ja-Ling
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2016
- Pages
- 3-12
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2524262295
- Cited by
- 2
- References
- 21
- Citations by year
- 2019: 1 · 2017: 1
- FWCI
- 0.77
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Human Pose and Action Recognition
- Keywords
- emotion prediction, user-generated video, emotion classification, video-based emotion recognition
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