VrdONE: One-stage Video Visual Relation Detection

• Published in: arXiv.org
• Main Authors: Jiang, Xinjie, Zheng, Chenxi, Xu, Xuemiao, Liu, Bangzhen, Zheng, Weiying, Zhang, Huaidong, He, Shengfeng
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 18.08.2024
• Subjects: Computer Science - Computer Vision and Pattern Recognition; Instance segmentation; Task complexity; Visual tasks

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...