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Datasets/COVERAGE

COVERAGE

Copy-Move Forgery Database with Similar but Genuine Objects

COVERAGE contains copymove forged (CMFD) images and their originals with similar but genuine objects (SGOs). COVERAGE is designed to highlight and address tamper detection ambiguity of popular methods, caused by self-similarity within natural images. In COVERAGE, forged–original pairs are annotated with (i) the duplicated and forged region masks, and (ii) the tampering factor/similarity metric. For benchmarking, forgery quality is evaluated using (i) computer vision-based methods, and (ii) human detection performance.

Source: COVERAGE

Benchmarks

3D Action Recognition/Balanced Accuracy3D Action Recognition/AUCAction Localization/Balanced AccuracyAction Localization/AUCAction Recognition/Balanced AccuracyAction Recognition/AUCActivity Recognition/Balanced AccuracyActivity Recognition/AUCAnomaly Detection/Balanced AccuracyAnomaly Detection/AUCImage Manipulation Detection/Balanced AccuracyImage Manipulation Detection/AUCImage Manipulation Localization/Average Pixel F1(Fixed threshold)Temporal Action Localization/Balanced AccuracyTemporal Action Localization/AUCVideo/Balanced AccuracyVideo/AUCZero-Shot Learning/Balanced AccuracyZero-Shot Learning/AUC

Related Benchmarks

COVERAGE(Protocol-CAT)/Image Manipulation Localization/Pixel Binary F1

Statistics

Papers
9
Benchmarks
19

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Tasks

3D Action RecognitionAction LocalizationAction RecognitionActivity RecognitionAnomaly DetectionImage Manipulation DetectionImage Manipulation LocalizationTemporal Action LocalizationVideoZero-Shot Learning