DeepFake Image Detection using Swin Transformer with Attention-guided Feature Fusion and Explainable AI Techniques
This paper presents a robust deepfake image detection framework using the Swin-B Transformer, a pre-trained model fine-tuned for this application, and visualize the spatial segments of the image that the model focuses on during classification, providing insight into the decision-making process.