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「NeurIPS 2024」To Err like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation

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To Err like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation

This repository contains the implementation of our paper "To Err like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation", which introduces a new evaluation metric for Visual Emotion Recognition (VER).

Dataset Preparation

  1. Download the FI dataset
  2. Download the EmoSet dataset from here
  3. Organize the dataset structure as follows:
dataset_root/
    ├── train/
    │   ├── Amusement/
    │   ├── Anger/
    │   └── ...
    └── test/
        ├── Amusement/
        ├── Anger/
        └── ...

Training

To train the model, use the following command:

python train.py --dataset FI --path '/path/to/dataset' --network resnet50

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「NeurIPS 2024」To Err like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation

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