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A pytorch implementation of our paper Image Captioning with Inherent Sentiment (ICME 2021 Oral).

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InSentiCap_model

A pytorch implementation of our paper Image Captioning with Inherent Sentiment (ICME 2021 Oral).

Citation

@inproceedings{li2021image,
  title={Image Captioning with Inherent Sentiment},
  author={Li, Tong and Hu, Yunhui and Wu, Xinxiao},
  booktitle={2021 IEEE International Conference on Multimedia and Expo (ICME)},
  year={2021},
  organization={IEEE}
}

Environment

  • Python 3.7
  • Pytorch 1.3.1

Method

1. Architecture

Architecture

2. Train Strategy

  • Pre-training stage
    Pre-training
  • Fine-tuning stage
    Fine-tuning

Result

Evaluation metrics

Sentiment Bleu-1 Bleu-3 METEOR CIDEr ppl(↓) cls(%)
positive 59.7 25.3 20.9 61.3 13.0 98.5
negative 59.1 24.3 19.4 53.3 12.3 95.5
neutral 73.5 41.2 24.7 97.5 8.4 98.9

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A pytorch implementation of our paper Image Captioning with Inherent Sentiment (ICME 2021 Oral).

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