Weakly-supervised video anomaly detection with contrastive learning of long and short-range temporal features

• Main Authors: TIAN, Yu, PANG, Guansong, CHEN, Yuanhong, SINGH, Rajvinder, VERJANS, Johan W., CARNEIRO, Gustavo
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Vision applications and systems; Action and behavior recognition; Transfer/Low-shot/Semi/Unsupervised Learning; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/7021; https://ink.library.smu.edu.sg/context/sis_research/article/8024/viewcontent/2101.10030.pdf
• Institution: Singapore Management University

Anomaly detection with weakly supervised video-level labels is typically formulated as a multiple instance learning (MIL) problem, in which we aim to identify snippets containing abnormal events, with each video represented as a bag of video snippets. Although current methods show effective detectio...