DeepViT-Detect: A Deep Vision Transformer-Based Approach for Robust Deepfake Video Detection

Deepfake videos are all over the place now, and it's getting tough to know what's real online. The ways we try to spot them now often miss the little things that show they're fake. So, we made something new called DeepViT-Detect that uses Vision Transformers (ViT) to find deepfakes. ViT is good at spotting both the big picture and tiny details because it uses self-attention, so it can see even the smallest weird things in video frames. Our model looks at frames from real and fake videos and learns to tell the difference between what's real and what's been messed with. We trained it a lot using all sorts of videos. Testing shows that DeepViT-Detect does much better than other methods at being accurate and strong, so it's a good step in the fight against deepfakes. This shows that using transformers could be a great way to find tricky fakes and keep visual media trustworthy.