Debiasing visual question and answering with answer preference

Visual Question Answering (VQA) requires models to generate a reasonable answer with given an image and corresponding question. It requires strong reasoning capabilities for two kinds of input features, namely image and question. However, most state-of-the-art results heavily rely on superficial cor...

全面介紹

Saved in:
書目詳細資料
主要作者: Zhang, Xinye
其他作者: Zhang Hanwang
格式: Final Year Project
語言:English
出版: Nanyang Technological University 2020
主題:
在線閱讀:https://hdl.handle.net/10356/137906
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
機構: Nanyang Technological University
語言: English