作者指出现有的feature extractor(如pre-trained的I3D, C3D)是在动作识别的dataset预训练的,因此和异常检测任务具有domain gap,所以作者介绍了一种两阶段的训练方案,用于生成视频片段的伪标签从而用于改进encoder。 3. Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning (ICCV 20...
anomaly detectiondataset analysisdeep learningRecent research has shown that features obtained from pretrained Convolutional Neural Network (CNN) models can be promptly applied to a variety of problems they were not originally designed to solve. This concept, often referred to as Transfer Learning (TL)...
Table 1. Anomaly detection datasets for common scenarios. (1) UMN dataset. The UMN dataset [8] has 11 videos containing three different scenes: campus lawn, indoor and square. This dataset belongs to the global abnormal behavior dataset. (2) UCSD Pedestrian dataset. The UCSD Pedestrian datase...
5. Video Understanding 除了在生成任务中的应用,如视频生成和编辑,扩散模型还在基本视频理解任务中得到了探讨,例如视频时间分割(video temporal segmentation)、视频异常检测(video anomaly detection)、文本视频检索(video retrieval)等,这将在本节中介绍。视频理解的分类详细信息总结在图 5 中。 5.1 Temporal Action D...
CVPR 24' [paper][code & dataset][supp] TDSD: Text-Driven Scene-Decoupled Weakly Supervised Video Anomaly Detection Shengyang Sun, Jiashen Hua, Junyi Feng, Dongxu Wei, Baisheng Lai, Xiaojin Gong ACM MM 24' [paper][code][OpenReview] Weakly-supervised VAD Papers Cross-Domain Learning for ...
These leaderboards are used to track progress in Online Video Anomaly Detection TrendDatasetBest ModelPaperCodeCompare Detection of Traffic Anomaly MOVAD (640x480) See all Datasets Detection of Traffic Anomaly Most implemented papers Most implemented Social Latest No code Memory-augmented Online...
Therefore, it is difficult to get an adequate amount of labeled dataset for all of the possible anomalies. Thus making the task difficult for supervised learning methods. It is therefore interesting to leverage the paradigm of unsupervised learning to deal with this problem. Most of the early ...
Progress in video anomaly detection research is currently slowed by small datasets that lack a wide variety of activities as well as flawed evaluation criteria. This paper aims to help move this research effort forward by introducing a large and varied new dataset called Street Scene, as well as...
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning Mariana-Iuliana Georgescu1,3, Antonio Ba˘rba˘la˘u1, Radu Tudor Ionescu1,3, Fahad Shahbaz Khan2, Marius Popescu1,3, Mubarak Shah4 1University of Bucharest, Romania, 2MBZ Univ...
Evaluation python script.py --log_path log_dir --dataset_path datasets_dir/ShanghaiTechCampus --dataset_name shanghai_tech --eval 1 We also provide the checkpoints ofPed2,AvenueandShanghaiTech.