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Vision transformer embedded video anomaly detection using attention driven recurrence

https://doi.org/10.1016/j.array.2025.100471

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.cviu.2023.103739openalex-snapshot

Human skeletons and change detection for efficient violence detection in surveillance videos

inferredcites →https://doi.org/10.1016/j.cviu.2024.104163openalex-snapshot

Delving into CLIP latent space for Video Anomaly Recognition

inferredcites →https://doi.org/10.1016/j.engappai.2023.106173openalex-snapshot

TransCNN: Hybrid CNN and transformer mechanism for surveillance anomaly detection

inferredcites →https://doi.org/10.1016/j.engappai.2024.109496openalex-snapshot

Transformer-enabled weakly supervised abnormal event detection in intelligent video surveillance systems

inferredcites →https://doi.org/10.1016/j.eswa.2022.118791openalex-snapshot

Video violence recognition and localization using a semi-supervised hard attention model

inferredcites →https://doi.org/10.1016/j.eswa.2025.127857openalex-snapshot

MMVAD: A vision–language model for cross-domain video anomaly detection with contrastive learning and scale-adaptive frame segmentation

inferredcites →https://doi.org/10.1016/j.imavis.2024.105139openalex-snapshot

M2VAD : Multiview multimodality transformer-based weakly supervised video anomaly detection

inferredcites →https://doi.org/10.1016/j.knosys.2022.109348openalex-snapshot

Attention-based anomaly detection in multi-view surveillance videos

inferredcites →https://doi.org/10.1016/j.neucom.2023.02.027openalex-snapshot

Video anomaly detection based on spatio-temporal relationships among objects

inferredcites →https://doi.org/10.1016/j.patcog.2021.108213openalex-snapshot

Video anomaly detection with spatio-temporal dissociation

inferredcites →https://doi.org/10.1016/j.patcog.2023.109765openalex-snapshot

Video Anomaly Detection with Ntcn-Ml: A Novel Tcn for Multi-Instance Learning

inferredcites →https://doi.org/10.1016/j.rineng.2023.101026openalex-snapshot

Video anomaly detection system using deep convolutional and recurrent models

inferredcites →https://doi.org/10.1016/j.scs.2024.105793openalex-snapshot

Elevating urban surveillance: A deep CCTV monitoring system for detection of anomalous events via human action recognition

inferredcites →https://doi.org/10.1109/access.2021.3109102openalex-snapshot

TransAnomaly: Video Anomaly Detection Using Video Vision Transformer

inferredcites →https://doi.org/10.1109/access.2023.3245521openalex-snapshot

Toward Fast and Accurate Violence Detection for Automated Video Surveillance Applications

inferredcites →https://doi.org/10.1109/access.2023.3321801openalex-snapshot

SwinAnomaly: Real-Time Video Anomaly Detection Using Video Swin Transformer and SORT

inferredcites →https://doi.org/10.1109/avss21180.2013openalex-snapshot

2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance

inferredcites →https://doi.org/10.1109/cvpr.2016.86openalex-snapshot

Learning Temporal Regularity in Video Sequences

inferredcites →https://doi.org/10.1109/cvpr.2018.00678openalex-snapshot

Real-World Anomaly Detection in Surveillance Videos

inferredcites →https://doi.org/10.1109/cvpr52729.2023.00626openalex-snapshot

Prompt-Guided Zero-Shot Anomaly Action Recognition using Pretrained Deep Skeleton Features

inferredcites →https://doi.org/10.1109/cvpr52733.2024.01753openalex-snapshot

Harnessing Large Language Models for Training-Free Video Anomaly Detection

inferredcites →https://doi.org/10.1109/cvprw63382.2024.00493openalex-snapshot

CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attention

inferredcites →https://doi.org/10.1109/iccv.2019.00179openalex-snapshot

Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection

inferredcites →https://doi.org/10.1109/icdm54844.2022.00157openalex-snapshot

Making Reconstruction-based Method Great Again for Video Anomaly Detection

inferredcites →https://doi.org/10.1109/icip10338.2007openalex-snapshot

2007 IEEE International Conference on Image Processing

inferredcites →https://doi.org/10.1109/icme12349.2007openalex-snapshot

2007 IEEE International Conference on Multimedia and Expo

inferredcites →https://doi.org/10.1109/icpr16097.2010openalex-snapshot

2010 20th International Conference on Pattern Recognition

inferredcites →https://doi.org/10.1109/icpr56361.2022.9956507openalex-snapshot

Multi-Contextual Predictions with Vision Transformer for Video Anomaly Detection

inferredcites →https://doi.org/10.1109/issre59848.2023.00025openalex-snapshot

ConvMHSA-SCVD: Enhancing Smart Contract Vulnerability Detection through a Knowledge-Driven and Data-Driven Framework

inferredcites →https://doi.org/10.1109/sai33325.2014openalex-snapshot

2014 Science and Information Conference

inferredcites →https://doi.org/10.1109/tii.2021.3116377openalex-snapshot

AI-Assisted Edge Vision for Violence Detection in IoT-Based Industrial Surveillance Networks

inferredcites →https://doi.org/10.1109/tits.2021.3108504openalex-snapshot

Vehicular Trajectory Classification and Traffic Anomaly Detection in Videos Using a Hybrid CNN-VAE Architecture

inferredcites →https://doi.org/10.1109/tmm.2019.2950530openalex-snapshot

Learning Normal Patterns via Adversarial Attention-Based Autoencoder for Abnormal Event Detection in Videos

inferredcites →https://doi.org/10.1109/tmm.2021.3112814openalex-snapshot

Contrastive Attention for Video Anomaly Detection

inferredcites →https://doi.org/10.1109/tnn.2010.2102870openalex-snapshot

2011 International Joint Conference on Neural Networks

inferredcites →https://doi.org/10.1109/wacv57701.2024.00670openalex-snapshot

Real-Time Weakly Supervised Video Anomaly Detection

inferredcites →https://doi.org/10.1145/3123266.3123451openalex-snapshot

Spatio-Temporal AutoEncoder for Video Anomaly Detection

inferredcites →https://doi.org/10.1145/3465481.3470099openalex-snapshot

A Real-Time Deep Learning Approach for Real-World Video Anomaly Detection

inferredcites →https://doi.org/10.1145/3474085openalex-snapshot

Proceedings of the 29th ACM International Conference on Multimedia

inferredcites →https://doi.org/10.1145/3595916.3626421openalex-snapshot

Prior Knowledge Guided Network for Video Anomaly Detection

inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.602openalex-snapshot

When Attention Meets Fast Recurrence: Training Language Models with Reduced Compute

inferredcites →https://doi.org/10.18653/v1/d18-1477openalex-snapshot

Simple Recurrent Units for Highly Parallelizable Recurrence

inferredcites →https://doi.org/10.19101/ijatee.2021.875907openalex-snapshot

Anomaly detection in surveillance videos based on H265 and deep learning

inferredcites →https://doi.org/10.3390/app12031021openalex-snapshot

A CNN-RNN Combined Structure for Real-World Violence Detection in Surveillance Cameras

inferredcites →https://doi.org/10.3390/s22124502openalex-snapshot

Weakly Supervised Violence Detection in Surveillance Video

inferredcites →https://doi.org/10.3390/s23187734openalex-snapshot

CNN-ViT Supported Weakly-Supervised Video Segment Level Anomaly Detection

inferredcites →https://doi.org/10.3390/s24061844openalex-snapshot

Violent Video Recognition by Using Sequential Image Collage

inferredcites →https://doi.org/10.48550/arxiv.1907.10211openalex-snapshot

Motion-Aware Feature for Improved Video Anomaly Detection

inferredcites →https://doi.org/10.48550/arxiv.2102.04306openalex-snapshot

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

inferredcites →https://doi.org/10.48550/arxiv.2308.13866openalex-snapshot

Improving Video Violence Recognition with Human Interaction Learning on 3D Skeleton Point Clouds

inferredcites →https://doi.org/10.48550/arxiv.2401.05702openalex-snapshot

Video Anomaly Detection and Explanation via Large Language Models

inferredcites →https://doi.org/10.48550/arxiv.2403.12415openalex-snapshot

VisionGPT: LLM-Assisted Real-Time Anomaly Detection for Safe Visual Navigation

inferredcites →https://doi.org/10.48550/arxiv.2406.12235openalex-snapshot

Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM

inferredcites →https://doi.org/10.48550/arxiv.2503.07942openalex-snapshot

STEAD: Spatio-Temporal Efficient Anomaly Detection for Time and Compute Sensitive Applications

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cpe.70839openalex-snapshot

Abnormal Activity Detection in Surveillance Using Optimized Cross Attention–Based Residual Autoencoder

inferred← citeshttps://doi.org/10.1016/j.engappai.2026.115462openalex-snapshot

A robust framework for video anomaly detection using multiscale context and temporal dynamics

inferred← citeshttps://doi.org/10.1080/19479832.2026.2689187openalex-snapshot

GhostBottleneck-ConvNeXt-based spatial–temporal framework for video anomaly detection in surveillance systems

inferred← citeshttps://doi.org/10.1109/acdsa67686.2026.11467910openalex-snapshot

Anomaly Detection in Video Surveillance Using a Novel BiLSTM-Hybrid Temporal Encoder

inferred← citeshttps://doi.org/10.1109/iatmsi68868.2026.11466276openalex-snapshot

Reveal: A Deepfake Video Detection System using CNN and LSTM

inferred← citeshttps://doi.org/10.1109/ic3it66137.2025.11341322openalex-snapshot

STaSFormer-SGAD: Semantic Triplet-Aware Spatial Flow-Guided Spatio-Temporal Graph for Anomaly Detection in Surveillance Videos

inferred← citeshttps://doi.org/10.1109/icacrs67045.2025.11324414openalex-snapshot

A Dual Attention Spatio Temporal Network for Real-Time Crowd Anomaly Detection

inferred← citeshttps://doi.org/10.1109/iccmrai67732.2026.11723699openalex-snapshot

A Deep Learning-Based Multi-Phase Framework for Automated Crime Detection in CCTV Video Streams

inferred← citeshttps://doi.org/10.1109/icicnct66124.2025.11233085openalex-snapshot

Intelligent Approach to Crime Detection and Alert Generation

inferred← citeshttps://doi.org/10.1109/iciics67880.2026.11483610openalex-snapshot

Comparative Analysis of Anomaly Detection in Surveillance Videos Using Deep Learning, Hybrid Learning and Transformer Models

inferred← citeshttps://doi.org/10.1142/s0129065726500528openalex-snapshot

Transformer-Based Anomaly Detection for Neurodegenerative Screening in MRI Images

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