Learning to Discriminate Information for Online Action Detection: Analysis and Application

• Published in: arXiv.org
• Main Authors: Lee, Sumin, Hyunjun Eun, Moon, Jinyoung, Choi, Seokeon, Kim, Yoonhyung, Jung, Chanho, Kim, Changick
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 18.11.2022
• Subjects: Ablation; Computer Science - Computer Vision and Pattern Recognition; Learning; Recurrent neural networks
• ISSN: 2331-8422
• DOI: 10.48550/arxiv.2109.03393

Online action detection, which aims to identify an ongoing action from a streaming video, is an important subject in real-world applications. For this task, previous methods use recurrent neural networks for modeling temporal relations in an input sequence. However, these methods overlook the fact t...