MTER

 

MTER:Multi-task Emotion Recognition Based on Context-aware Attention Module

ENGLISH | 中文文档

 

mter ...

🎨 Dataset: EMOTIC,EMOTIC_face;

🎓 Model: Resnet18,mobilenetV2;

📦 Data Processing: ...

🐍 API: ...

What's New

2022.06.13

• Added model: nnfp
• Added two image embedding models: RepMLP, WaveViT

Getting started

MTER requires Python 3.6+. You can install via pip:

If you run into any pip-related install problems, please try to upgrade pip with pip install -U pip.

Let's try your first Towhee pipeline. Below is an example for how to create a CLIP-based cross modal retrieval pipeline with only 15 lines of code.

Learn more examples from the UN.

Core Concepts

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City Us

@article{Lina2022mter, title={Multi-task Emotion Recognition Based on Context-aware Attention Module}, author={Lina Zhang,Dugki Min}, journal={arXiv preprint arXiv:}, year={2022} }