{CVPR 2021论文笔记} Anomaly Detection in Video via Self-Supervised and Multi-Task Learning sharkD 在内卷的趋势下逐渐躺平52 人赞同了该文章 浏览CVPR 2021 论文时发现了这一篇视频异常检测向的文章,在Avenue\Ped2\Shanghai Tech数据集上都取得了AUC超过90%的成绩,可以说是碾压了之前的异常检测算法,本文是我...
6. TEVAD: Improved video anomaly detection with captions (cvpr2023 workshop,visual+text) 运用text和visual的特征相融合。 7. VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection (AAAI 2024, clip based) 8. Learning Prompt-Enhanced Context Features for Weakly-Supervise...
Anomaly detection in videos remains a challenging task due to the ambiguous definition of anomaly and the complexity of visual scenes from real video data. Different from the previous work which utilizes reconstruction or prediction as an auxiliary task to learn the temporal regularity, in this work...
《Anomaly detection in video with Bayesian nonparametrics》O Isupova, D Kuzin, L Mihaylova [The University of Sheffield] (2016) http://t.cn/R58LIOv GitHub:http://t.cn/R58LI0s
In this work, a comprehensive study of an existing anomaly detection frameworkhas been carried out. After identifying current challenges in the field of anomalydetection in video sequences, an existing framework has been selected for its implementationand evaluation. A set of video sequences containin...
Cruise 运营中的远程引导多点转向 | Escaping the Police in an Autonomous Vehicle 748 -- 40:03 App Waymo 如何面对3D目标检测的长尾问题 | Scaling 3D Detection to the Long Tail 88 -- 2:08 App Motional 自动驾驶消费者调研/2022 | Motional Consumer Mobility Report 2022 148 -- 7:00 App 欧洲人是...
视频异常检测——Anomaly Detection in Video via Self-Supervised and Multi-Task Learning,程序员大本营,技术文章内容聚合第一站。
However, AEs are not capable of capturing the 2D structure in image and video sequences, because the input data is a 1D vector. To cope with this issue, the Convolutional AE (CAE) architecture seems to be more appropriated [22]. In fact, CAEs for anomaly detection in video are still...
Anomaly Detection UBnormal MIL AUC 50.3% # 14 Compare RBDC0.002# 4 Compare TBDC0.001# 4 Compare Anomaly Detection In Surveillance Videos UCF-Crime Sultani et al. ROC AUC 75.41 # 15 Decidability0.613# 2 Compare EER0.353# 2 Compare
2. Anomaly Detection in Video via Self-Supervised and Multi-Task Learning(基于自监督和多任务学习的视频异常检测) 图2 基于自监督和多任务学习的异常检测框架 引入学习时间箭头作为异常检测的代理任务; 引入运动不规则预测作为异常检测的代理任务; 引入模型精馏作为视频异常检测的代理任务; ...