SOTAVerified

Image Manipulation Detection

The task of detecting images or image parts that have been tampered or manipulated (sometimes also referred to as doctored). This typically encompasses image splicing, copy-move, or image inpainting.

Papers

Showing 51–60 of 73 papers

TitleStatusHype
Resnet18 Model With Sequential Layer For Computing Accuracy On Image Classification Dataset—0
RXFOOD: Plug-in RGB-X Fusion for Object of Interest Detection—0
SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection—0
SISL:Self-Supervised Image Signature Learning for Splicing Detection and Localization—0
SpliceRadar: A Learned Method For Blind Image Forensics—0
TrainFors: A Large Benchmark Training Dataset for Image Manipulation Detection and Localization—0
TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization—0
Uncertainty-guided Learning for Improving Image Manipulation Detection—0
UnionFormer: Unified-Learning Transformer with Multi-View Representation for Image Manipulation Detection and Localization—0
Universal Image Manipulation Detection using Deep Siamese Convolutional Neural Network—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DF-NetAUC0.91—Unverified
2Late FusionBalanced Accuracy0.86—Unverified
3Early FusionBalanced Accuracy0.85—Unverified
4CAT-Net v2Balanced Accuracy0.84—Unverified
5TruForBalanced Accuracy0.81—Unverified
6MVSS-NetBalanced Accuracy0.53—Unverified
7ManTraNetBalanced Accuracy0.5—Unverified
8CR-CNNBalanced Accuracy0.48—Unverified
9SPANBalanced Accuracy0.11—Unverified
#ModelMetricClaimedVerifiedStatus
1Early FusionBalanced Accuracy0.94—Unverified
2TruForBalanced Accuracy0.93—Unverified
3Late FusionBalanced Accuracy0.83—Unverified
4DF-NetAUC0.77—Unverified
5CAT-Net v2Balanced Accuracy0.53—Unverified
6ManTraNetBalanced Accuracy0.5—Unverified
7MVSS-NetBalanced Accuracy0.36—Unverified
8CR-CNNBalanced Accuracy0.29—Unverified
9SPANBalanced Accuracy0.23—Unverified
#ModelMetricClaimedVerifiedStatus
1Late FusionBalanced Accuracy0.68—Unverified
2Early FusionBalanced Accuracy0.66—Unverified
3TruForBalanced Accuracy0.64—Unverified
4CAT-Net v2Balanced Accuracy0.58—Unverified
5ManTraNetBalanced Accuracy0.5—Unverified
6CR-CNNBalanced Accuracy0.45—Unverified
7SPANBalanced Accuracy0.3—Unverified
8MVSS-NetBalanced Accuracy0.12—Unverified
#ModelMetricClaimedVerifiedStatus
1TruForBalanced Accuracy0.98—Unverified
2Early FusionBalanced Accuracy0.96—Unverified
3DF-NetAUC0.88—Unverified
4Late FusionBalanced Accuracy0.82—Unverified
5CAT-Net v2Balanced Accuracy0.8—Unverified
6MVSS-NetBalanced Accuracy0.73—Unverified
7CR-CNNBalanced Accuracy0.63—Unverified
8ManTraNetBalanced Accuracy0.5—Unverified
#ModelMetricClaimedVerifiedStatus
1Early FusionBalanced Accuracy0.77—Unverified
2Late FusionBalanced Accuracy0.72—Unverified
3TruForBalanced Accuracy0.68—Unverified
4CAT-Net v2Balanced Accuracy0.64—Unverified
5MVSS-NetBalanced Accuracy0.51—Unverified
6ManTraNetBalanced Accuracy0.5—Unverified
7CR-CNNBalanced Accuracy0.39—Unverified
8SPANBalanced Accuracy0.24—Unverified
#ModelMetricClaimedVerifiedStatus
1DF-NetAUC0.91—Unverified
2Wu22AUC0.86—Unverified
3Mantra-NetAUC0.76—Unverified
4ForSimAUC0.54—Unverified
#ModelMetricClaimedVerifiedStatus
1DF-NetAUC0.9—Unverified
2Wu22AUC0.83—Unverified
3ManTra-NetAUC0.72—Unverified
4ForSimAUC0.53—Unverified
#ModelMetricClaimedVerifiedStatus
1DF-NetAUC0.9—Unverified
2Wu22AUC0.86—Unverified
3ManTra-NetAUC0.75—Unverified
4ForSimAUC0.54—Unverified
#ModelMetricClaimedVerifiedStatus
1DF-NetAUC0.91—Unverified
2Wu22AUC0.87—Unverified
3ManTra-NetAUC0.76—Unverified
4ForSimAUC0.53—Unverified
#ModelMetricClaimedVerifiedStatus
1Wu22AUC0.88—Unverified
2DF-NetAUC0.88—Unverified
3ManTra-NetAUC0.63—Unverified
4ForSimAUC0.61—Unverified
#ModelMetricClaimedVerifiedStatus
1Wu22AUC0.88—Unverified
2DF-NetAUC0.88—Unverified
3ForSimAUC0.65—Unverified
4ManTra-NetAUC0.61—Unverified
#ModelMetricClaimedVerifiedStatus
1DF-NetAUC0.89—Unverified
2Wu22AUC0.88—Unverified
3ManTra-NetAUC0.62—Unverified
4ForSimAUC0.61—Unverified
#ModelMetricClaimedVerifiedStatus
1Wu22AUC0.89—Unverified
2DF-NetAUC0.88—Unverified
3ManTra-NetAUC0.63—Unverified
4ForSimAUC0.6—Unverified
#ModelMetricClaimedVerifiedStatus
1Wu22AUC0.86—Unverified
2DF-NetAUC0.77—Unverified
3ForSimAUC0.69—Unverified
4ManTra-NetAUC0.64—Unverified
#ModelMetricClaimedVerifiedStatus
1Wu22AUC0.82—Unverified
2DF-NetAUC0.77—Unverified
3ManTra-NetAUC0.58—Unverified
4ForSimAUC0.56—Unverified
#ModelMetricClaimedVerifiedStatus
1Wu22AUC0.81—Unverified
2DF-NetAUC0.76—Unverified
3ManTra-NetAUC0.61—Unverified
4ForSimAUC0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Wu22AUC0.84—Unverified
2DF-NetAUC0.77—Unverified
3ManTra-NetAUC0.62—Unverified
4ForSimAUC0.54—Unverified
#ModelMetricClaimedVerifiedStatus
1DF-NetAUC0.8—Unverified
2Wu22AUC0.78—Unverified
3ManTra-NetAUC0.65—Unverified
4ForSimAUC0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1DF-NetAUC0.8—Unverified
2Wu22AUC0.76—Unverified
3ManTra-NetAUC0.65—Unverified
4ForSimAUC0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1DF-NetAUC0.79—Unverified
2Wu22AUC0.78—Unverified
3ManTra-NetAUC0.67—Unverified
4ForSimAUC0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1DF-NetAUC0.8—Unverified
2Wu22AUC0.79—Unverified
3ManTra-NetAUC0.7—Unverified
4ForSimAUC0.59—Unverified