Spatio-Temporal Encoder-Decoder Fully Convolutional Network for Video-Based Dimensional Emotion Recognition

Video-based dimensional emotion recognition aims to map human affect into the dimensional emotion space based on visual signals, which is a fundamental challenge in affective computing and human-computer interaction. In this paper, we present a novel encoder-decoder framework to tackle this problem....

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE transactions on affective computing Ročník 12; číslo 3; s. 565 - 578
Hlavní autori:	Du, Zhengyin, Wu, Suowei, Huang, Di, Li, Weixin, Wang, Yunhong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.07.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Affective computing Artificial neural networks Coders Convolution Decoding Dimensional emotion recognition Emotion recognition Emotions Encoders-Decoders Feature extraction spatio-temporal fully convolutional network Task analysis temporal hourglass CNN temporal intermediate supervision Videos Visual signals Visualization
ISSN:	1949-3045, 1949-3045
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!