Runlin Cao

Overcoming Language Priors for Visual Question Answering via Loss Rebalancing Label and Global Context

Despite the advances in Visual Question Answering (VQA), many VQA models currently suffer from language priors (i.e. generating answers directly from questions without using images), which severely reduces their robustness in real-world scenarios. We propose a novel training strategy called Loss Reb…