SeLiNet: Sentiment enriched Lightweight Network for Emotion Recognition in Images

In this paper, we propose a sentiment-enriched lightweight network SeLiNet and an end-to-end on-device pipeline for contextual emotion recognition in images. SeLiNet model consists of body feature extractor, image aesthetics feature extractor, and learning-based fusion network which jointly estimate...

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Hauptverfasser:	Khargonkar, Tuneer, Choudhary, Shwetank, Kumar, Sumit, KR, Barath Raj
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Human-Computer Interaction
Online-Zugang:	Volltext bestellen
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