Multiple contexts and frequencies aggregation network for deepfake detection
Fig 5
Visualization of latent embedding of detectors with t-SNE [72] on FF++ (c23) according to settings in DeepfakeBench [39].
Based on the naive detector, our MkfaNet-S distinguishes different types of forgery into several clusters, whereas other backbones could not learn the discriminative patterns without additional supervision.