Within this paper, we present our novel method the Integrated Deep Model (IDM), fusing two state-of-the-art deep learning architectures, namely, Faster R-CNN and a stacked hourglass for improved face ...

The rapid advancement of generative models in creating highly realistic images poses substantial risks for misinformation dissemination. For instance, a synthetic image, when shared on social media, ...

This is the official repository for our image anomaly detection model PICARD ... our model is shown under the Model Diagram section of this README. Our trained PyTorch model checkpoints for the ...

Abstract: Recent advances in image editing techniques have posed serious challenges ... outperforming state-of-the-art tampering detection and localization methods.

Purpose: To develop a cascaded deep learning model trained with apparent diffusion coefficient (ADC) and T2-weighted imaging (T2WI) for fully automated detection ... MR images. In total, 347 patients ...

Intelligent detection ... region in the RGB image and recover the missing value in the depth map under different occlusion states of citrus fruit, and (3) estimate the 3D localization of citrus fruits ...

While effective, current Image Forgery Detection and Localization (IFDL) methods need to work on two key challenges: the black-box nature of their detection principles and limited generalization ...