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Deepfake Detection on NT, DF, F2F, FS, FSH, CDFv2, and FFIW10K (test)

79NTBZNet
69.151271.708174.26576.8219Sep 12, 2023

Evaluation results

MethodLinks
BZNetCompression=Random Image Compression (JPEG), Setting=Quality-agnostic, Source=Pre-trained weights2023.097998.7795.2397.92———92.73
SBIsCompression=Random Image Compression (JPEG), Setting=Quality-agnostic, Source=Pre-trained weights2023.0977.7597.8382.0586.185.42——85.83
QAD-ECompression=Random Image Compression (JPEG), Setting=Quality-agnostic, Backbone=EfficientNet2023.0976.2799.294.4498.6998.698.5298.8694.94
ADDCompression=Random Image Compression (JPEG), Setting=Quality-agnostic, Source=Pre-trained weights2023.0975.8496.8392.2395.2496——91.23
Fang & LinCompression=Random Image Compression (JPEG), Setting=Quality-agnostic2023.0975.4998.3294.6397.6497.2896.6798.3994.06
QAD-RCompression=Random Image Compression (JPEG), Setting=Quality-agnostic, Backbone=ResNet-502023.0975.1898.8693.7298.5298.1898.5198.9694.56
F3NetCompression=Random Image Compression (JPEG), Setting=Quality-agnostic2023.0970.9597.8992.8396.3494.7295.4497.1992.19
MesoNetCompression=Random Image Compression (JPEG), Setting=Quality-agnostic2023.0970.2392.0288.3282.691.8481.1291.8785.43
Rössler et al.Compression=Random Image Compression (JPEG), Setting=Quality-agnostic2023.0969.8998.6294.9796.6696.7696.9898.8193.24
MATCompression=Random Image Compression (JPEG), Setting=Quality-agnostic2023.0969.5398.9695.5397.9996.9798.2198.9193.73