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content-moderation-deep-learning

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Deep learning based content moderation from text, audio, video & image input modalities.

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# deep-learning-content-moderation

Various sources for deep learning based content moderation, sensitive content detection, scene genre classification, nudity detection, violence detection, substance detection from text, audio, video &amp; image input modalities.

## citation

If you find this source useful, please consider citing it in your work as:

```bib
@inproceedings{akyon2026senben,
  title={SenBen: Sensitive Scene Graphs for Explainable Content Moderation},
  author={Akyon, Fatih Cagatay and Temizel, Alptekin},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
  year={2026},
  url={https://arxiv.org/abs/2604.08819}
}
```
```bib
@INPROCEEDINGS{10193621,
  author={Akyon, Fatih Cagatay and Temizel, Alptekin},
  booktitle={2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)}, 
  title={State-of-the-Art in Nudity Classification: A Comparative Analysis}, 
  year={2023},
  pages={1-5},
  keywords={Analytical models;Convolution;Conferences;Transfer learning;Benchmark testing;Transformers;Safety;content moderation;nudity detection;safety;transformers},
  doi={10.1109/ICASSPW59220.2023.10193621}}
```
```bib
@article{akyon2022contentmoderation,
  title={Deep Architectures for Content Moderation and Movie Content Rating},
  author={Akyon, Fatih Cagatay and Temizel, Alptekin},
  journal={arXiv},
  doi={https://doi.org/10.48550/arXiv.2212.04533},
  year={2022}
}
```

## table of contents

* [datasets](https://github.com/fcakyon/content-moderation-deep-learning#datasets)
    * [movie and content moderation datasets](https://github.com/fcakyon/content-moderation-deep-learning#movie-and-content-moderation-datasets)
* [techniques](https://github.com/fcakyon/content-moderation-deep-learning#techniques)
    * [sensitive content detection](https://github.com/fcakyon/content-moderation-deep-learning#sensitive-content-detection)
        * [movie content rating](https://github.com/fcakyon/content-moderation-deep-learning#movie-content-rating)
        * [content moderation](https://github.com/fcakyon/content-moderation-deep-learning#content-moderation)
        * [animal cruelty and wildlife crime detection](https://github.com/fcakyon/content-moderation-deep-learning#animal-cruelty-and-wildlife-crime-detection)
    * [movie/scene genre classification](https://github.com/fcakyon/content-moderation-deep-learning#movie/scene-genre-classification)
    * [multimodal architectures](https://github.com/fcakyon/content-moderation-deep-learning#multimodal-architectures)
        * [synchronous multimodal architectures](https://github.com/fcakyon/content-moderation-deep-learning#synchronous-multimodal-architectures)
        * [asynchronous multimodal architectures](https://github.com/fcakyon/content-moderation-deep-learning#asynchronous-multimodal-architectures)
    * [action recognition](https://github.com/fcakyon/content-moderation-deep-learning#action-recognition)
        * [with transformers](https://github.com/fcakyon/content-moderation-deep-learning#with-transformers)
        * [with 3D CNNs](https://github.com/fcakyon/content-moderation-deep-learning#with-3d-cnns)
    * [contrastive representation learning](https://github.com/fcakyon/content-moderation-deep-learning#contrastive-representation-learning)
    * [review papers](https://github.com/fcakyon/content-moderation-deep-learning#review-papers)
* [tools](https://github.com/fcakyon/content-moderation-deep-learning#tools)

## datasets

### movie and content moderation datasets

## techniques

### sensitive content detection

#### movie content rating

#### content moderation

#### animal cruelty and wildlife crime detection

Papers and tools for detecting animal cruelty content and illegal wildlife trade in images, video, and social media posts. This includes detection of wildlife trafficking imagery, identification of illegal wildlife products for sale online, and automated monitoring of animal abuse content on social media platforms.

##### illegal wildlife trade detection

##### wildlife monitoring and conservation

### movie/scene genre classification

### multimodal architectures

#### synchronous multimodal architectures

#### asynchronous multimodal architectures

### action recognition

#### with transformers

#### with 3D CNNs

### contrastive representation learning

| name | paper | date |
|--- |--- |--- |
| Vatt: Transformers for multimodal self-supervised learning from raw video, audio and text | [scholar](https://scholar.google.com.tr/scholar?cluster=7327595990658945420) | 2021 |
| Supervised contrastive learning | [scholar](https://scholar.google.com.tr/scholar?cluster=2159203708190499110) | 2020 |

### review papers

| name | paper | date |
|--- |--- |--- |
| Machine Learning Models for Content Classification in Film Censorship and Rating | [pdf](https://www.researchgate.net/profile/Mahmudul-Haque-4/publication/360812725_Machine_Learning_Models_for_Content_Classification_in_Film_Censorship_and_Rating/links/629219a58d19206823e2cf70/Machine-Learning-Models-for-Content-Classification-in-Film-Censorship-and-Rating.pdf) | 2022 |
| A survey of artificial intelligence strategies for automatic detection of sexually explicit videos | [scholar](https://scholar.google.com/scholar?cluster=3622219384521520101&hl=en&as_sdt=0,5) | 2022 |
| A survey on video content rating: taxonomy, challenges and open issues | [pdf](https://link.springer.com/content/pdf/10.1007/s11042-021-10838-8.pdf) | 2021 |
| Multimodal Learning with Transformers: A Survey  | [scholar](https://scholar.google.com/scholar?cluster=6631830511436466415&hl=en&as_sdt=0,5) | 2022 |
| A Survey Paper on Movie Trailer Genre Detection | [scholar](https://scholar.google.com/scholar?cluster=18275675471389373237&hl=en&as_sdt=0,5) | 2020 |

## tools

content-moderation-deep-learning

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