computer-vision-1

Visual Sentiment Prediction

3260 papers • 126 benchmarks • 313 datasets

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Most implemented papers

From pixels to sentiment: Fine-tuning CNNs for visual sentiment prediction

Xavier Giró-i-Nieto, Brendan Jou, Víctor Campos•Mon Apr 11 2016

This work explores how Convolutional Neural Networks, a now de facto computational machine learning tool particularly in the area of Computer Vision, can be specifically applied to the task of visual sentiment prediction and presents visualizations of local patterns that the network learned to associate with image sentiment.

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Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction

Xavier Giró-i-Nieto, Amaia Salvador, Brendan Jou, Víctor Campos•Wed Aug 19 2015

This work study the suitability of fine-tuning a CNN for visual sentiment prediction as well as explore performance boosting techniques within this deep learning setting and provides a deep-dive analysis into a benchmark, state-of-the-art network architecture to gain insight about how to design patterns for CNNs on the task ofVisual sentiment prediction.

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