Group contextualization for video recognition

• Main Authors: HAO, Yanbin, ZHANG, Hao, NGO, Chong-wah, HE, Xiangnan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Recognition; detection; categorization; retrieval; Action and event recognition; Deep learning architectures and techniques; Efficient learning and inferences; Artificial Intelligence and Robotics; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/7504; https://ink.library.smu.edu.sg/context/sis_research/article/8507/viewcontent/Hao_Group_Contextualization_for_Video_Recognition_CVPR_2022_paper.pdf
• Institution: Singapore Management University

Learning discriminative representation from the complex spatio-temporal dynamic space is essential for video recognition. On top of those stylized spatio-temporal computational units, further refining the learnt feature with axial contexts is demonstrated to be promising in achieving this goal. Howe...