Robust-EQA: robust learning for embodied question answering with noisy labels

• Main Authors: Luo, Haonan, Lin, Guosheng, Shen, Fumin, Huang, Xingguo, Yao, Yazhou, Shen, Hengtao
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Task Analysis; Noise Measurement
• Online Access: https://hdl.handle.net/10356/170567
• Institution: Nanyang Technological University

Embodied question answering (EQA) is a recently emerged research field in which an agent is asked to answer the user's questions by exploring the environment and collecting visual information. Plenty of researchers turn their attention to the EQA field due to its broad potential application are...