VrdONE : One-stage video visual relation detection

• Main Authors: JIANG, Xinjie, ZHENG, Chenxi, XU, Xuemiao, LIU, Bangzhen, ZHENG, Weiying, ZHANG, Huaidong, HE, Shengfeng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Scene understanding; Video relation detection; Video understanding; One-stage; Set prediction; Spatiotemporally synergism; Artificial Intelligence and Robotics; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/9802
• Institution: Singapore Management University

Video Visual Relation Detection (VidVRD) focuses on understanding how entities interact over time and space in videos, a key step for gaining deeper insights into video scenes beyond basic visual tasks. Traditional methods for VidVRD, challenged by its complexity, typically split the task into two p...