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

Benchmark Model Rank Results
image-manipulation-detection-on-casia-v1-plusTruFor–Balanced Accuracy: .813AUC: .916
image-manipulation-detection-on-cocoglideTruFor–Balanced Accuracy: .639AUC: .752
image-manipulation-detection-on-columbiaTruFor–Balanced Accuracy: .984AUC: .996
image-manipulation-detection-on-coverageTruFor–Balanced Accuracy: .680AUC: .770
image-manipulation-detection-on-dso-1TruFor–Balanced Accuracy: .930AUC: .984
image-manipulation-localization-on-casia-v1-plusTruFor–Average Pixel F1(Fixed threshold): .737
image-manipulation-localization-on-casiav1-protoclo-catTrufor–Pixel Binary F1: 0.818
image-manipulation-localization-on-cocoglideTruFor–Average Pixel F1(Fixed threshold): .523
image-manipulation-localization-on-columbiaTruFor–Average Pixel F1(Fixed threshold): .859
image-manipulation-localization-on-columbia-protocol-catTrufor–Pixel Binary F1: 0.885
image-manipulation-localization-on-coverageTruFor–Average Pixel F1(Fixed threshold): .600
image-manipulation-localization-on-coverage-protocol-catTrufor–Pixel Binary F1: 0.457
image-manipulation-localization-on-dso-1TruFor–Average Pixel F1(Fixed threshold): .930
image-manipulation-localization-on-nist16-protocol-catTrufor–Pixel Binary F1: 0.348