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Audiovisual Deepfake Detection on KoDF (test)

99.4AUCReferee
60.9270.9180.990.89Oct 31, 2025

Evaluation results

MethodLinks
RefereeModality=AV, w/ Ref.=Yes, Train set=FakeAVCeleb2025.1099.499.4
ICSAVModality=AV, w/ Ref.=No, Train set=LRS22025.1099.298.6
AVFFModality=AV, w/ Ref.=No, Train set=FakeAVCeleb2025.1095.593.1
FoVBModality=AV, w/ Ref.=No, Train set=FakeAVCeleb2025.1094.3—
RealForensicsModality=V, w/ Ref.=No, Train set=FakeAVCeleb2025.1093.695.7
FRADEModality=AV, w/ Ref.=No, Train set=FakeAVCeleb2025.1092.4—
AVADModality=AV, w/ Ref.=No, Train set=LRS2/LRS32025.1086.987.6
LipForensicsModality=V, w/ Ref.=No, Train set=FakeAVCeleb2025.1086.689.5
AV-DFDModality=AV, w/ Ref.=No, Train set=FakeAVCeleb2025.1082.179.6
XceptionModality=V, w/ Ref.=No, Train set=FakeAVCeleb2025.1077.776.9
POI-ForensicsModality=AV, w/ Ref.=Yes, Train set=VoxCeleb2, pretrained_weights=publicly available2025.1070.564.9
FTCNModality=V, w/ Ref.=No, Train set=FakeAVCeleb2025.1068.166.8
ID-RevealModality=V, w/ Ref.=Yes, Train set=VoxCeleb2, pretrained_weights=publicly available2025.1062.463.9