晚上介绍一篇做道路异常检测的文章,该文章于2022年发表在Information sciences上,虽然方法在如今看来显得单薄和简单,但解决问题的角度很清晰,值得学习。 大致思路是:寻找和临近边有明显差异的异常道路边,引…
spatiotemporal masked autoencodervision transformerskip connectionsVideo anomaly detection is a critical component of intelligent video surveillance systems, extensively deployed and researched in industry and academia. However, existing methods have a strong generalization ability for ...
随着去年Kaiming He的新作「Masked Autoencoders Are Scalable Vision Learners 」问世以来,后续出现了许多对Masked Autoencoders (MAE)的改进以及扩展到其它领域的工作。这里我简单收集了一些与MAE相关(同期或者follow-up的)的一些工作。后续工作我会在我的github项目上进行更新,欢迎关注: EdisonLeeeee/Awesome-Masked-Au...
In the era of observability, massive amounts of time series data have been collected to monitor the running status of the target system, where anomaly detection serves to identify observations that differ significantly from the remaining ones and is of utmost importance to enable value extraction fr...
MARLIN: Masked Autoencoder for facial video Representation LearnINg Zhixi Cai1, Shreya Ghosh1,2, Kalin Stefanov1, Abhinav Dhall1,3, Jianfei Cai1, Hamid Rezatofighi1, Reza Haffari1, Munawar Hayat1 1Monash University, 2 Curtin University, 3 Indian Institute of Techn...
In this paper, we present Siamese Masked Autoencoders (SiamMAE), a simple extension of Masked Autoencoders (MAE) for learning visual correspondence from videos. SiamMAE operates on pairs of randomly sampled video frames and asymmetrically masks them. These frames are processed independently by an...
In the context of anomaly detection, the Convolutional Autoencoder (CAE) is particularly intriguing as it captures the 2D structure within image sequences during the learning phase. A study employed a CAE for anomaly detection, utilizing the reconstruction error of each frame as an anomaly score....
Inspired by a modern self-supervised vision transformer model trained using partial image inputs to reconstruct missing image regions -- we propose AMAE, a two-stage algorithm for adaptation of the pre-trained masked autoencoder (MAE). Starting from MAE initialization, AMAE first creates synthetic ...
In this work, we extend MAE to perform anomaly detection on breast magnetic resonance imaging (MRI). This new model, coined masked autoencoder for medical imaging (MAEMI) is trained on two non-contrast enhanced MRI sequences, aiming at lesion detection without the need for intravenous injection...
Incremental learning of LSTM-autoencoder anomaly detection in three-axis CNC machines There has been a continual effort to develop smarter, more effective CNC machines, capable of fully autonomous operation. To achieve this goal, the machine... E Li,Y Li,S Bedi,... - 《International Journal...