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Weakly supervised video anomaly detection (WSVAD) is a challenging task.
Real-time anomaly detection and localization in crowded scenes
Mohammad Sabokrou, Mahmood Fathy, Mojtaba Hoseini, and Reinhard Klette · 2015
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Learning deep representations of appearance and motion for anomalous event detection
Dan Xu, Elisa Ricci, Yan Yan, Jingkuan Song, and Nicu Sebe · 2015
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Learning temporal regularity in video sequences
Mahmudul Hasan, Jonghyun Choi, Jan Neumann, Amit K Roy-Chowdhury, and Larry S Davis · 2016
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Deep structured energy based models for anomaly detection
Shuangfei Zhai, Yu Cheng, Weining Lu, and Zhongfei Zhang · 2016
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Experience report: Log mining using natural language processing and application to anomaly detection
Christophe Bertero, Matthieu Roy, Carla Sauvanaud, and Gilles Trédan · 2017
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A revisit of sparse coding based anomaly detection in stacked rnn framework
Weixin Luo, Wen Liu, and Shenghua Gao · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Detecting anomalous events in videos by learning deep representations of appearance and motion
Dan Xu, Yan Yan, Elisa Ricci, and Nicu Sebe · 2017
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Future frame prediction for anomaly detection–a new baseline
Wen Liu, Weixin Luo, Dongze Lian, and Shenghua Gao · 2018
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Adversarially learned one-class classifier for novelty detection
Mohammad Sabokrou, Mohammad Khalooei, Mahmood Fathy, and Ehsan Adeli · 2018
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Real-world anomaly detection in surveillance videos
Waqas Sultani, Chen Chen, and Mubarak Shah · 2018
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Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection
Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, and Anton van den Hengel · 2019
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Bman: Bidirectional multi-scale aggregation networks for abnormal event detection
Sangmin Lee, Hak Gu Kim, and Yong Man Ro · 2019
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Adaptive attention span in transformers
Sainbayar Sukhbaatar, Édouard Grave, Piotr Bojanowski, and Armand Joulin · 2019
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A deep one-class neural network for anomalous event detection in complex scenes
Peng Wu, Jing Liu, and Fang Shen · 2019
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Anopcn: Video anomaly detection via deep predictive coding network
Muchao Ye, Xiaojiang Peng, Weihao Gan, Wei Wu, and Yu Qiao · 2019
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Temporal convolutional network with complementary inner bag loss for weakly supervised anomaly detection
Jiangong Zhang, Laiyun Qing, and Jun Miao · 2019
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Graph convolutional label noise cleaner: Train a plug-and-play action classifier for anomaly detection
Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H Li, and Ge Li · 2019
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Learning memory-guided normality for anomaly detection
Hyunjong Park, Jongyoun Noh, and Bumsub Ham · 2020
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Not only look, but also listen: Learning multimodal violence detection under weak supervision
Peng Wu, Jing Liu, Yujia Shi, Yujia Sun, Fangtao Shao, Zhaoyang Wu, and Zhiwei Yang · 2020
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Self-training multi-sequence learning with transformer for weakly supervised video anomaly detection
Shuo Li, Fang Liu, and Licheng Jiao · 2022
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Bayesian nonparametric submodular video partition for robust anomaly detection
Hitesh Sapkota and Qi Yu · 2022
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Exploiting foreground and background separation for prohibited item detection in overlapping x-ray images
Fangtao Shao, Jing Liu, Peng Wu, Zhiwei Yang, and Zhaoyang Wu · 2022
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A kalman variational autoencoder model assisted by odometric clustering for video frame prediction and anomaly detection
Giulia Slavic, Abrham Shiferaw Alemaw, Lucio Marcenaro, David Martin Gomez, and Carlo Regazzoni · 2022
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Dynamic local aggregation network with adaptive clusterer for anomaly detection
Zhiwei Yang, Peng Wu, Jing Liu, and Xiaotao Liu · 2022
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Claws: Clustering assisted weakly supervised learning with normalcy suppression for anomalous event detection
Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, and Seung-Ik Lee · 2020
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Appearance-motion memory consistency network for video anomaly detection
Ruichu Cai, Hao Zhang, Wen Liu, Shenghua Gao, and Zhifeng Hao · 2021
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Mist: Multiple instance self-training framework for video anomaly detection
Jia-Chang Feng, Fa-Ting Hong, and Wei-Shi Zheng · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Weakly-supervised video anomaly detection with robust temporal feature magnitude learning
Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W Verjans, and Gustavo Carneiro · 2021
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Learning causal temporal relation and feature discrimination for anomaly detection
Peng Wu and Jing Liu · 2021
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Videoclip: Contrastive pre-training for zero-shot video-text understanding
Hu Xu, Gargi Ghosh, Po-Yao Huang, Dmytro Okhonko, Armen Aghajanyan, Florian Metze, Luke Zettlemoyer, and Christoph Feichtenhofer · 2021
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Mgfn: Magnitude-contrastive glance-and-focus network for weakly-supervised video anomaly detection
Yingxian Chen, Zhengzhe Liu, Baoheng Zhang, Wilton Fok, Xiaojuan Qi, and Yik-Chung Wu · 2023
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Clip-tsa: Clip-assisted temporal self-attention for weakly-supervised video anomaly detection
Hyekang Kevin Joo, Khoa Vo, Kashu Yamazaki, and Ngan Le · 2023
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Clip is also an efficient segmenter: A text-driven approach for weakly supervised semantic segmentation
Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, and Xiaofei He · 2023
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Distilling privileged knowledge for anomalous event detection from weakly labeled videos
Tianshan Liu, Kin-Man Lam, and Jun Kong · 2023
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Towards video anomaly retrieval from video anomaly detection: New benchmarks and model
Peng Wu, Jing Liu, Xiangteng He, Yuxin Peng, Peng Wang, and Yanning Zhang · 2023
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Delving into clip latent space for video anomaly recognition
Luca Zanella, Benedetta Liberatori, Willi Menapace, Fabio Poiesi, Yiming Wang, and Elisa Ricci · 2023
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Exploiting completeness and uncertainty of pseudo labels for weakly supervised video anomaly detection
Chen Zhang, Guorong Li, Yuankai Qi, Shuhui Wang, Laiyun Qing, Qingming Huang, and Ming-Hsuan Yang · 2023
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Dual memory units with uncertainty regulation for weakly supervised video anomaly detection
Hang Zhou, Junqing Yu, and Wei Yang · 2023
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Vadclip: Adapting vision-language models for weakly supervised video anomaly detection
Peng Wu, Xuerong Zhou, Guansong Pang, Lingru Zhou, Qingsen Yan, Peng Wang, and Yanning Zhang · 2024
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