Accuracy: 99.25AUC: 0.9986
Papers with Code · CC BY-SA 4.0
DeepFake Detection
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
논문
AUC: 0.9377
LogLoss: 0.4640
0-shot MRR: Gpg
AUC: 0.951
ROC AUC: 85.3AP: 84.8
ROC AUC: 97.1AP: 95.3
Accuracy (%): 94
0L: 99
Accuracy (%): 99.29
Accuracy (%): 98.57
ROC AUC: 97.4AP: 96.8
AUC: 0.990
ROC AUC: 93.1AP: 92.3
ROC AUC: 88.1AP: 88.8
ROC AUC: 91.1AP: 89.4
AUC: 0.956
ROC AUC: 94.5AP: 94.2
ROC AUC: 51.8AP: 55.0