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UserProfiling/PSR: This is the official implementation for the paper "EMP: Emotion-guided Multi-modal Fusion and Contrastive Learning for Personality Traits Recognition". · GitHub

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PSR

This is the official implementation for the paper "EMP: Emotion-guided Multi-modal Fusion and Contrastive Learning for Personality Traits Recognition".

Structure of EMP

Table of Contents

Dependencies

  • Python 3.9.1
  • pytorch-lightning 1.7.2
  • Linux 5.11.0-46-generic

Requirement

  • We use sentence transfomer for text feature extraction. Sentence Embedding
  • We use large X3D network for visual features extraction. X3D

Dataset

Chalearn first impressions dataset can be found in First impressions.

ELEA dataset can be found on this official website ELEA and you need to apply it.

Usage

Train the model

ulimit -SHn 51200
python main.py --accelerator 'gpu' --devices 1  

About

This is the official implementation for the paper "EMP: Emotion-guided Multi-modal Fusion and Contrastive Learning for Personality Traits Recognition".

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