CAST: Cross-Attentive Spatio-Temporal feature fusion for deepfake detection

Key Points

• Deepfake detection performance improves significantly with spatio-temporal feature fusion, enhancing outcome accuracy.
• Key metrics reveal the effectiveness of the cross-attention approach in detecting manipulated visuals.
• The cross-attentive spatio-temporal feature fusion method was employed to analyze deepfake detection processes.
• This highlights the need for advanced algorithms in combating rapidly increasing deepfake technology.