# Visual Question Answering (VQA)

FLODA is an advanced deepfake detection model that integrates image caption generation and authenticity assessment functions, achieving high-precision detection through visual question answering tasks.

BLIP-2 is a vision-language model that achieves language-image pretraining by freezing the image encoder and large language model, supporting tasks such as image caption generation and visual question answering.

GIT is a dual-conditional Transformer decoder based on CLIP image tokens and text tokens, designed for image-to-text generation tasks.