Loss Re-Scaling VQA: Revisiting the Language Prior Problem From a Class-Imbalance View
Loss Re-Scaling VQA: Revisiting the Language Prior Problem From a Class-Imbalance View
Recent studies have pointed out that many well-developed Visual Question Answering (VQA) models are heavily affected by the language prior problem. It refers to making predictions based on the co-occurrence pattern between textual questions and answers instead of reasoning upon visual contents. To tackle this problem, most existing methods focus …