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 51–73 of 73 papers

TitleStatusHype
ObjectFormer for Image Manipulation Detection and Localization—0
On the Effectiveness of Image Manipulation Detection in the Age of Social Media—0
Perturb, Attend, Detect and Localize (PADL): Robust Proactive Image Defense—0
Crowd-powered Face Manipulation Detection: Fusing Human Examiner Decisions—0
Context-Aware Weakly Supervised Image Manipulation Localization with SAM Refinement—0
Resnet18 Model With Sequential Layer For Computing Accuracy On Image Classification Dataset—0
Constrained R-CNN: A general image manipulation detection model—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
Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection—0
SpliceRadar: A Learned Method For Blind Image Forensics—0
Boosting Image Forgery Detection using Resampling Features and Copy-move analysis—0
Auto-Focus Contrastive Learning for Image Manipulation Detection—0
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset—0
A Skip Connection Architecture for Localization of Image Manipulations—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
HRGR: Enhancing Image Manipulation Detection via Hierarchical Region-aware Graph Reasoning—0
Holistic Image Manipulation Detection using Pixel Co-occurrence Matrices—0
IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning—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