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DeepFake Detection

3D › 3D Reconstruction › 3D Shape Reconstruction from Videos › DeepFake Detection 40 평가 기록 14 datasets

DeepFake Detection is the task of detecting fake videos or images that have been generated using deep learning techniques. Deepfakes are created by using machine learning algorithms to manipulate or replace parts of an original video or image, such as the face of a person. The goal of deepfake detection is to identify such manipulations and distinguish them from real videos or images.

Description source: DeepFakes: a New Threat to Face Recognition? Assessment and Detection

Image source: DeepFakes: a New Threat to Face Recognition? Assessment and Detection

개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.

벤치마크

Papers with Code 아카이브의 데이터셋별 기록 예시입니다. 평가 조건과 지표 방향이 검증되지 않아 순위를 의미하지 않습니다.

Dataset기록된 모델 예시MetricPaperCode
FACTOR
ROC AUC: 97.4AP: 96.8
논문 코드
XLSR-Mamba
21LA EER: 0.9321DF EER: 1.88
논문 코드
QAD-E
AUC: 0.956
논문 -
Cross Efficient Vision Transformer
AUC: 0.951
논문 코드
1
STYLE
0L: 99
논문 -
FasterThanLies
Validation Accuracy: 97.29AUC: 99.65
논문 코드
FasterThanLies
Accuracy: 99.25AUC: 0.9986
논문 코드
FasterThanLies
Accuracy: 0.9895AUC: 0.9994
논문 코드
XceptionNet
DF: 96.36FS: 90.29FSF: 86.86NT: 80.67
논문 코드
Ensemble AudioVisual Model
Accuracy (%): 0.89
논문 코드
rawnet_lite.pt
EER: 0.25
논문 코드
BA-TFD
AUC: 0.990
논문 코드

데이터셋

14개
FakeAVCelebASVspoof 2021FaceForensics++DFDC1CIFAKE: Real and AI-Generated Synthetic ImagesCOCOFakeDFFDFaceForensicsFakeAVCelebFakeOrRealLAV-DF

논문

라이브러리

Papers with Code 리더보드 row에 연결된 구현 저장소입니다.

github.com/ControlNet/MARLIN 1 논문
github.com/jhchang/DFDC 1 논문
github.com/polimi-ispl/icpr2020dfdc 1 논문
github.com/SuyashSonawane/fakedetector 1 논문
github.com/davide-coccomini/Combining-EfficientNet-and-Vision-Transformers-for-Video-Deepfake-Detection 1 논문
github.com/davide-coccomini/Combining-EfficientNet-and-Vision-Transformersfor-Video-Deepfake-Detection 1 논문
github.com/davide-coccomini/mintime-multi-identity-size-invariant-timesformer-for-video-deepfake-detection 1 논문
github.com/fedeloper/binary_deepfake_detection 1 논문

하위 태스크

AD Audio Deepfake Detection 2 데이터셋 · 9 rows MF Multimodal Forgery Detection 1 데이터셋 · 1 rows HD Human Detection of Deepfakes 0 데이터셋 · 0 rows SS Synthetic Speech Detection 0 데이터셋 · 0 rows DF diffusion-generated faces detection 0 데이터셋 · 0 rows