Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization

Benchmark Model Rank Results
image-manipulation-detection-on-casia-v1CAT-Net v2#3Balanced Accuracy: .838AUC: .942
image-manipulation-detection-on-cocoglideCAT-Net v2#3Balanced Accuracy: .580AUC: .667
image-manipulation-detection-on-columbiaCAT-Net v2#3Balanced Accuracy: .803AUC: .977
image-manipulation-detection-on-coverageCAT-Net v2#3Balanced Accuracy: .635AUC: .680
image-manipulation-detection-on-dso-1CAT-Net v2#3Balanced Accuracy: .525AUC: .747
image-manipulation-localization-on-casia-v1CAT-Net v2#6Average Pixel F1(Fixed threshold): .752
image-manipulation-localization-on-casiav1CAT-Net#2Pixel Binary F1: 0.808
image-manipulation-localization-on-cocoglideCAT-Net v2#8Average Pixel F1(Fixed threshold): .434
image-manipulation-localization-on-columbiaCAT-Net v2#5Average Pixel F1(Fixed threshold): .859
image-manipulation-localization-on-columbia-1CAT-Net#3Pixel Binary F1: 0.915
image-manipulation-localization-on-coverageCAT-Net v2#7Average Pixel F1(Fixed threshold): .381
image-manipulation-localization-on-coverage-1CAT-Net#4Pixel Binary F1: 0.427
image-manipulation-localization-on-dso-1CAT-Net v2#6Average Pixel F1(Fixed threshold): .584
image-manipulation-localization-on-nist16CAT-Net#5Pixel Binary F1: 0.252