# OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/openforensics-large-scale-challenging-dataset-for-multi-face-forgery-detection/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Trung-Nghia Le,Huy H. Nguyen,Junichi Yamagishi,Isao Echizen |
| Citations | 89 |
| DOI | 10.1109/iccv48922.2021.00996 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3189718486 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [Isao Echizen](https://scholariq.org/researchers/isao-echizen/)

## Paper primary topic

- [Face recognition and analysis](https://scholariq.org/topics/face-recognition-and-analysis/)

## Paper topics

- [Face recognition and analysis](https://scholariq.org/topics/face-recognition-and-analysis/)
- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)
- [Digital Media Forensic Detection](https://scholariq.org/topics/digital-media-forensic-detection/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.