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# Group-Level Emotion Recognition

This repository contains the code of our model submitted for the ICMI 2018 EmotiW Group-Level Emotion Recognition Challenge. The model was ranked **4th** in the challenge.

Short Paper of our challenge submission can be found [here](
Short Paper of our challenge submission can be found [here]( If you find our research work helpful, please consider citing:

author = {Gupta, Aarush and Agrawal, Dakshit and Chauhan, Hardik and Dolz, Jose and Pedersoli, Marco},
title = {An Attention Model for Group-Level Emotion Recognition},
booktitle = {Proceedings of the 2018 on International Conference on Multimodal Interaction},
series = {ICMI `18},
year = {2018},
isbn = {978-1-4503-5692-3},
location = {Boulder, CO, USA},
pages = {611--615},
numpages = {5},
url = {},
doi = {10.1145/3242969.3264985},
acmid = {3264985},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {attention mechanisms, convolutional neural networks, deep learning, group-level emotion recognition},

## Contents

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3. [Repository Overview](#3-repository-overview)
4. [Dataset Folder Overview](#4-dataset-folder-overview)
5. [Credits](#5-credits)
6. [To-do](#6-to-do)
7. [Guidelines for Contributors](#7-guidelines-for-contributors)
1. [Reporting Bugs and Opening Issues](#71-reporting-bugs-and-opening-issues)
2. [Pull Requests](#72-pull-requests)
8. [License](#8-license)
6. [Guidelines for Contributors](#6-guidelines-for-contributors)
1. [Reporting Bugs and Opening Issues](#61-reporting-bugs-and-opening-issues)
2. [Pull Requests](#62-pull-requests)
7. [License](#7-license)

## 1. Summary of the Model

We propose an end-to-end model for jointly learning the scene and facial features of an image for group-level emotion recognition. An overview of the approach is presented in the following figure.
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## 6. To-Do

1. [ ] Upload trained models of `TrainedModels/FullDataset/AlignedModel_EmotiW_lr01_Softmax` and `TrainedModels/FullDataset/PretrainedDenseNetAvgFaceFeatures_FineTune_2208_3_NoSoftmax`.
2. [ ] Review implementations of `Ensemble_Models/Model_OutputSaver_FullTrained` and `Ensemble_Models/Model_OutputSaver_TrainDataset`.

## 7. Guidelines for Contributors
## 6. Guidelines for Contributors

### 7.1. Reporting Bugs and Opening Issues
### 6.1. Reporting Bugs and Opening Issues

If you'd like to report a bug or open an issue then please:

**Check if there is an existing issue.** If there is then please add any more information that you have, or give it a 👍.

When submitting an issue please describe the issue as clearly as possible, including how to reproduce the bug. If you can include a screenshot of the issues, that would be helpful.

### 7.2. Pull Requests
### 6.2. Pull Requests

Please first discuss the change you wish to make via an issue.

We don't have a set format for Pull Requests, but expect you to list changes, bugs generated and other relevant things in the PR message.

## 8. License
## 7. License

This repository is licensed under MIT license.

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