Privacy-preserving anomaly detection in cloud manufacturing via federated transformer by Ma, Shiyao, Nie, Jiangtian, Kang, Jiawen, Lyu, Lingjuan, Liu, Ryan Wen, Zhao, Ruihui, Liu, Ziyao, Niyato, Dusit

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Unbiased multiple instance learning for weakly supervised video anomaly detection by Lv, Hui, Yue, Zhongqi, Sun, Qianru, Luo, Bin, Cui, Zhen, Zhang, Hanwang

Subjects: “…Weakly Supervised Video Anomaly Detection…”
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A standardized ICS network data processing flow with generative model in anomaly detection by Yang, Tao, Hu, Yibo, Li, Yang, Hu, Wei, Pan, Quan

“…The high-dimensional network data pose significant challenges on security anomaly detection. In this work, we propose a network flow data processing method, which can make the complex network data more standardized and unified to assist security anomaly detection. …”
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Deep anomaly detection for time-series data in industrial IoT: a communication-efficient on-device federated learning approach by Liu, Yi, Garg, Sahil, Nie, Jiangtian, Zhang, Yang, Xiong, Zehui, Kang, Jiawen, Hossain, M. Shamim

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Deep residual pooling network for texture recognition by Mao, Shangbo, Rajan, Deepu, Chia, Liang Tien

“…The feature has the lowest dimension among previous deep texture recognition approaches, yet it achieves state-of-the-art performance on benchmark texture recognition datasets such as FMD, DTD, 4D Light and one industry dataset used for metal surface anomaly detection. Additionally, the proposed method obtains comparable results on the MIT-Indoor scene recognition dataset. …”
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Representation recovery via L₁-norm minimization with corrupted data by Chai, Woon Huei, Ho, Shen-Shyang, Quek, Hiok Chai

“…This paper studies the recovery probability of a state-of-the-art sparse recovery method, the optimization problem of YALL1, which has been rigorously used in face recognition, dense error correction, anomaly detection, etc. This work generalizes a theoretical work which is based on a special case of the optimization problem of YALL1. …”
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eHealthPortal : a social support hub for the active living of the elderly by Wang, Di, Tan, Ah-Hwee

“…However, most existing AIP solutions provide support in one or two aspects only and many focus on anomaly detection rather than deliver care or companionship. …”
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Generalized out-of-distribution detection: a survey by Yang, Jingkang, Zhou, Kaiyang, Li, Yixuan, Liu, Ziwei

“…Meanwhile, several other problems, including anomaly detection (AD), novelty detection (ND), open set recognition (OSR), and outlier detection (OD), are closely related to OOD detection in terms of motivation and methodology. …”
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