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Making Reconstruction-based Method Great Again for Video Anomaly
  Detection

Making Reconstruction-based Method Great Again for Video Anomaly Detection

Industrial Conference on Data Mining (IDM), 2022
28 January 2023
Yizhou Wang
Can Qin
Yue Bai
Yi Xu
Xu Ma
Yun Fu
    ViT
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)Github (38★)

Papers citing "Making Reconstruction-based Method Great Again for Video Anomaly Detection"

11 / 11 papers shown
Title
VAGU & GtS: LLM-Based Benchmark and Framework for Joint Video Anomaly Grounding and Understanding
VAGU & GtS: LLM-Based Benchmark and Framework for Joint Video Anomaly Grounding and Understanding
Shibo Gao
Peipei Yang
Yangyang Liu
Y. Chen
Han Zhu
Xuyao Zhang
Linlin Huang
82
2
0
29 Jul 2025
The Evolution of Video Anomaly Detection: A Unified Framework from DNN to MLLM
The Evolution of Video Anomaly Detection: A Unified Framework from DNN to MLLM
Shibo Gao
P. Yang
Haiyang Guo
Y. Liu
Y. Chen
Shuai Li
Han Zhu
Jian Xu
Xu-Yao Zhang
Linlin Huang
VGen
183
1
0
29 Jul 2025
Towards Zero-shot 3D Anomaly Localization
Towards Zero-shot 3D Anomaly LocalizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Yizhou Wang
Kuan-Chuan Peng
Y. Fu
312
8
0
05 Dec 2024
Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection
Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection
Xiaofeng Tan
Hongsong Wang
Xin Geng
Liang Wang
DiffMAAMLVGen
383
3
0
04 Dec 2024
Frequency-Guided Multi-Level Human Action Anomaly Detection with
  Normalizing Flows
Frequency-Guided Multi-Level Human Action Anomaly Detection with Normalizing Flows
Shun Maeda
Chunzhi Gu
Junzhou Yu
Shogo Tokai
Shangce Gao
Chao Zhang
265
2
0
26 Apr 2024
Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection
Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection
Chenchen Tao
Chong Wang
Yuexian Zou
Xiaohao Peng
Yan Han
Jiangbo Qian
211
7
0
02 Mar 2024
A brief introduction to a framework named Multilevel
  Guidance-Exploration Network
A brief introduction to a framework named Multilevel Guidance-Exploration Network
Guoqing Yang
Zhiming Luo
Jianzhe Gao
Yingxin Lai
Kun Yang
Yifan He
Shaozi Li
3DH
289
0
0
07 Dec 2023
VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding
VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding
Yizhou Wang
Ruiyi Zhang
Haoliang Wang
Uttaran Bhattacharya
Yun Fu
Gang Wu
MLLM
219
18
0
04 Dec 2023
GRAM: An Interpretable Approach for Graph Anomaly Detection using
  Gradient Attention Maps
GRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention MapsNeural Networks (Neural Netw.), 2023
Yifei Yang
Peng Wang
Xiaofan He
Dongmian Zou
226
11
0
10 Nov 2023
Unveiling the Unseen: A Comprehensive Survey on Explainable Anomaly Detection in Images and Videos
Unveiling the Unseen: A Comprehensive Survey on Explainable Anomaly Detection in Images and Videos
Yizhou Wang
Dongliang Guo
Sheng Li
Octavia Camps
Yun Fu
549
7
0
13 Feb 2023
Self-Supervised Masked Convolutional Transformer Block for Anomaly
  Detection
Self-Supervised Masked Convolutional Transformer Block for Anomaly DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Neelu Madan
Nicolae-Cătălin Ristea
Radu Tudor Ionescu
Kamal Nasrollahi
Fahad Shahbaz Khan
T. Moeslund
M. Shah
ViTMedIm
522
99
0
25 Sep 2022
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