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Affective Image Content Analysis: Two Decades Review and New Perspectives

PyTorch License

This is the official implement of the related codes in our TPAMI paper Affective Image Content Analysis: Two Decades Review and New Perspectives.

drawing

Overview of AICA

Dataset

The used datasets are provided in our homepage.

Projects

  • The source codes of WSCNet, PDANet, RCA, Joint are implemented in WSCNet+PDANet+RCA+Joint.

  • The unofficial code of PAEF is provided in PAEF_SimpleVersion.

  • The official implementation of Sun attribute can be obtained here.

  • The source code of Sentibank can be downloaded here. Note that we have made a lot of efforts, and finally confirmed that the official code can only run on the Windows system.

Citation

If you find this code to be useful for your research, please consider citing.

@ARTICLE{zhao2022AICA,
  author={Zhao, Sicheng and Yao, Xingxu and Yang, Jufeng and Jia, Guoli and Ding, Guiguang and Chua, Tat-Seng and Schuller, Björn W. and Keutzer, Kurt},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
  title={Affective Image Content Analysis: Two Decades Review and New Perspectives}, 
  year={2022},
  volume={44},
  number={10},
  pages={6729-6751}
}

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