Improving Synthetically Generated Image Detection in Cross-Concept Settings

1 code implementation • 24 Apr 2023 • Pantelis Dogoulis, Giorgos Kordopatis-Zilos, Ioannis Kompatsiaris, Symeon Papadopoulos

New advancements for the detection of synthetic images are critical for fighting disinformation, as the capabilities of generative AI models continuously evolve and can lead to hyper-realistic synthetic imagery at unprecedented scale and speed.

A convolutional neural network of low complexity for tumor anomaly detection

no code implementations • 24 Jan 2023 • Vasileios E. Papageorgiou, Pantelis Dogoulis, Dimitrios-Panagiotis Papageorgiou

The automated detection of cancerous tumors has attracted interest mainly during the last decade, due to the necessity of early and efficient diagnosis that will lead to the most effective possible treatment of the impending risk.

Anomaly Detection Classification +1