Project DetailsThis work outlines Team SIPL’s solution to the 2025 Signal Processing Cup challenge, which focuses on the task of distinguishing real images from Deepfakes. Recent Deepfake image detection techniques rely on deep neural networks but face challenges related to limited generalization capabilities. Our proposed solution addresses these challenges by employing an ensemble of state-of-the-art methods. At the core of our approach is a neural network trained to intelligently combine embeddings from these individual detectors. This fusion enables the ensemble to effectively integrate complementary features, enhancing its ability to identify subtle artifacts. By synergizing the strengths of multiple detectors, our method demonstrates excellent Deepfake detection performance and robust generalization across various scenarios.
