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--- |
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license: mit |
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metrics: |
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- recall |
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pipeline_tag: video-classification |
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--- |
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# Static and dynamic facial emotion recognition using the Emo-AffectNet model |
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[](https://paperswithcode.com/paper/in-search-of-a-robust-facial-expressions) |
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<p align="center"> |
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<img width="32%" src="https://github.com/ElenaRyumina/EMO-AffectNetModel/blob/main/gif/test_04_AffWild2.gif?raw=true" alt="test_4_AffWild2"/> |
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<img width="32%" src="https://github.com/ElenaRyumina/EMO-AffectNetModel/blob/main/gif/test_02_AffWild2.gif?raw=true" alt="test_2_AffWild2"/> |
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<img width="32%" src="https://github.com/ElenaRyumina/EMO-AffectNetModel/blob/main/gif/test_03_AffWild2.gif?raw=true" alt="test_3_AffWild2"/> |
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</p> |
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This is Emo-AffectNet model for facial emotion recognition by videos / images. |
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To see the emotion detected by webcam, you should run ``rub_webcam``. Webcam result: |
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<p align="center"> |
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<img width="50%" src="https://github.com/ElenaRyumina/EMO-AffectNetModel/blob/main/gif/result_2.gif?raw=true" alt="result"/> |
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</p> |
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For more information see [GitHub](https://github.com/ElenaRyumina/EMO-AffectNetModel). |
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### Citation |
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If you are using EMO-AffectNet model in your research, please consider to cite research [paper](https://www.sciencedirect.com/science/article/pii/S0925231222012656). Here is an example of BibTeX entry: |
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<div class="highlight highlight-text-bibtex notranslate position-relative overflow-auto" dir="auto"><pre><span class="pl-k">@article</span>{<span class="pl-en">RYUMINA2022</span>, |
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<span class="pl-s">title</span> = <span class="pl-s"><span class="pl-pds">{</span>In Search of a Robust Facial Expressions Recognition Model: A Large-Scale Visual Cross-Corpus Study<span class="pl-pds">}</span></span>, |
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<span class="pl-s">author</span> = <span class="pl-s"><span class="pl-pds">{</span>Elena Ryumina and Denis Dresvyanskiy and Alexey Karpov<span class="pl-pds">}</span></span>, |
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<span class="pl-s">journal</span> = <span class="pl-s"><span class="pl-pds">{</span>Neurocomputing<span class="pl-pds">}</span></span>, |
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<span class="pl-s">year</span> = <span class="pl-s"><span class="pl-pds">{</span>2022<span class="pl-pds">}</span></span>, |
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<span class="pl-s">doi</span> = <span class="pl-s"><span class="pl-pds">{</span>10.1016/j.neucom.2022.10.013<span class="pl-pds">}</span></span>, |
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<span class="pl-s">url</span> = <span class="pl-s"><span class="pl-pds">{</span>https://www.sciencedirect.com/science/article/pii/S0925231222012656<span class="pl-pds">}</span></span>, |
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}</div> |
