Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias

ECCV, 2018.

Cited by: 12|Bibtex|Views41
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

While machine learning approaches to visual emotion recognition offer great promise, current methods consider training and testing models on small scale datasets covering limited visual emotion concepts. Our analysis identifies an important but long overlooked issue of existing visual emotion benchmarks in the form of dataset biases. We d...More

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