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SlowFastVAD: Video Anomaly Detection via Integrating Fast Detector and RAG-Enhanced Vision-Language Model

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

inferredcites →https://doi.org/10.1016/j.patcog.2024.110877openalex-snapshot
Fast video anomaly detection via context-aware shortcut exploration and abnormal feature distance learning
inferredcites →https://doi.org/10.1016/j.patcog.2025.112016openalex-snapshot
A video anomaly detection framework based on semantic consistency and multi-attribute feature complementarity
inferredcites →https://doi.org/10.1016/j.sigpro.2025.110442openalex-snapshot
VQ-CSA: Addressing overgeneralization in video anomaly detection via contrastive feature discretization
inferredcites →https://doi.org/10.1038/s41586-024-07358-4openalex-snapshot
A vision chip with complementary pathways for open-world sensing
inferredcites →https://doi.org/10.1109/tcsvt.2023.3325451openalex-snapshot
Multi-Branch GAN-Based Abnormal Events Detection via Context Learning in Surveillance Videos
inferredcites →https://doi.org/10.1109/tcsvt.2025.3568517openalex-snapshot
A Two-Stage Framework With Memory for Anomaly Detection via Video Decomposition and Bidirectional Consistency
inferredcites →https://doi.org/10.1109/tcsvt.2025.3602841openalex-snapshot
Aligning Normal Representations in Diffusion Model for Video Anomaly Detection
inferredcites →https://doi.org/10.1109/tip.2019.2948286openalex-snapshot
BMAN: Bidirectional Multi-Scale Aggregation Networks for Abnormal Event Detection
inferredcites →https://doi.org/10.1109/tmm.2024.3405716openalex-snapshot
Feature Reconstruction With Disruption for Unsupervised Video Anomaly Detection
inferredcites →https://doi.org/10.1109/tnnls.2022.3159538openalex-snapshot
Self-Supervised Attentive Generative Adversarial Networks for Video Anomaly Detection
inferredcites →https://doi.org/10.1109/tpami.2021.3129349openalex-snapshot
Future Frame Prediction Network for Video Anomaly Detection
inferredcites →https://doi.org/10.1109/tpami.2024.3461718openalex-snapshot
Scene-Dependent Prediction in Latent Space for Video Anomaly Detection and Anticipation
inferredcites →https://doi.org/10.1145/3123266.3123451openalex-snapshot
Spatio-Temporal AutoEncoder for Video Anomaly Detection
inferredcites →https://doi.org/10.1145/3394171.3413973openalex-snapshot
Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events
inferredcites →https://doi.org/10.1145/3474085.3475693openalex-snapshot
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection
inferredcites →https://doi.org/10.1145/3503161.3548091openalex-snapshot
Evidential Reasoning for Video Anomaly Detection
inferredcites →https://doi.org/10.1145/3503161.3548199openalex-snapshot
Hierarchical Scene Normality-Binding Modeling for Anomaly Detection in Surveillance Videos
inferredcites →https://doi.org/10.1609/aaai.v35i2.16177openalex-snapshot
Appearance-Motion Memory Consistency Network for Video Anomaly Detection
inferredcites →https://doi.org/10.1609/aaai.v39i10.33169openalex-snapshot
Video Anomaly Detection with Motion and Appearance Guided Patch Diffusion Model
inferredcites →https://doi.org/10.52202/079017-4435openalex-snapshot
HAWK: Learning to Understand Open-World Video Anomalies
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