TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization

Benchmark Model Rank Results
image-manipulation-detection-on-casia-v1TruForBalanced Accuracy: .813AUC: .916
image-manipulation-detection-on-cocoglideTruForBalanced Accuracy: .639AUC: .752
image-manipulation-detection-on-columbiaTruForBalanced Accuracy: .984AUC: .996
image-manipulation-detection-on-coverageTruForBalanced Accuracy: .680AUC: .770
image-manipulation-detection-on-dso-1TruForBalanced Accuracy: .930AUC: .984
image-manipulation-localization-on-casia-v1TruForAverage Pixel F1(Fixed threshold): .737
image-manipulation-localization-on-casiav1TruforPixel Binary F1: 0.818
image-manipulation-localization-on-cocoglideTruForAverage Pixel F1(Fixed threshold): .523
image-manipulation-localization-on-columbiaTruForAverage Pixel F1(Fixed threshold): .859
image-manipulation-localization-on-columbia-1TruforPixel Binary F1: 0.885
image-manipulation-localization-on-coverageTruForAverage Pixel F1(Fixed threshold): .600
image-manipulation-localization-on-coverage-1TruforPixel Binary F1: 0.457
image-manipulation-localization-on-dso-1TruForAverage Pixel F1(Fixed threshold): .930
image-manipulation-localization-on-nist16TruforPixel Binary F1: 0.348