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Found 4 papers, 1 papers with code
TrainFors: A Large Benchmark Training Dataset for Image Manipulation Detection and Localization
The evaluation datasets and metrics for image manipulation detection and localization (IMDL) research have been standardized.
MONet: Multi-scale Overlap Network for Duplication Detection in Biomedical Images
Manipulation of biomedical images to misrepresent experimental results has plagued the biomedical community for a while.
BioFors: A Large Biomedical Image Forensics Dataset
Our results and analysis show that existing algorithms developed on common computer vision datasets are not robust when applied to biomedical images, validating that more research is required to address the unique challenges of biomedical image forensics.
SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentation
Unlike conventional zero-shot classification, zero-shot semantic segmentation predicts a class label at the pixel level instead of the image level.
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