From pixels to sentiment: Fine-tuning CNNs for visual sentiment prediction
作者:
Highlights:
• A visual sentiment prediction framework using a Convolutional Neural Network
• Comparison of several performance boosting strategies
• 6.1% absolute accuracy improvement over the previous state-of-the-art
• Visualization of local patterns associated to each image's sentiment
摘要
•A visual sentiment prediction framework using a Convolutional Neural Network•Comparison of several performance boosting strategies•6.1% absolute accuracy improvement over the previous state-of-the-art•Visualization of local patterns associated to each image's sentiment
论文关键词:Sentiment,Convolutional Neural Networks,Social multimedia,Fine-tuning strategies
论文评审过程:Received 9 April 2016, Revised 19 January 2017, Accepted 26 January 2017, Available online 5 February 2017, Version of Record 18 September 2017.
论文官网地址:https://doi.org/10.1016/j.imavis.2017.01.011