VQA v2
material
ID: vqav2
Related Papers
Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation
AbstractThe recent large-scale vision-language pre-training (VLP) of dual-stream architectures (e.g., CLIP) with a tremendous amount of image-text pair data, has shown its superiority on various multimodal alignment tasks. Despite its …...
What’s Different between Visual Question Answering for Machine “Understanding” Versus for Accessibility?
AbstractIn visual question answering (VQA), a machine must answer a question given an associated image. Recently, accessibility researchers have explored whether VQA can be deployed in a real-world setting where …...