Plenty is Plague: Fine-Grained Learning for Visual Question Answering
IEEE Transactions on Pattern Analysis and Machine Intelligence(2022)
摘要
Visual Question Answering (VQA) has attracted extensive research focus recently. Along with the ever-increasing data scale and model complexity, the enormous training cost has become an emerging challenge for VQA. In this article, we show such a massive training cost is indeed plague. In contrast, a fine-grained design of the learning paradigm can be extremely beneficial in terms of both training ...
更多查看译文
关键词
Training,Visualization,Knowledge discovery,Redundancy,Data models,Feature extraction,Training data
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络