mlsanityData to 7 Oct 2026

Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision

arXiv 2007.04687 ↗First posted 9 Jul 2020cs.CVcited by 235

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Cited by 20 in Multimodal LLMs / vision-language models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Violence detection has been studied in computer vision for years. However, previous work are either superficial, e.g., classification of short-clips, and the single scenario, or undersupplied, e.g., the single modality, and hand-crafted features based multimodality. To address this problem, in this work we first release a large-scale and multi-scene dataset named XD-Violence with a total duration of 217 hours, containing 4754 untrimmed videos with audio signals and weak labels. Then we propose a neural network containing three parallel branches to capture different relations among video snippets and integrate features, where holistic branch captures long-range dependencies using similarity prior, localized branch captures local positional relation using proximity prior, and score branch dynamically captures the closeness of predicted score. Besides, our method also includes an approximator to meet the needs of online detection. Our method outperforms other state-of-the-art methods on our released dataset and other existing benchmark. Moreover, extensive experimental results also show the positive effect of multimodal (audio-visual) input and modeling relationships. The code and dataset will be released in https://roc-ng.github.io/XD-Violence/.

Key facts. Cited by 235 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Jul 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 10; 2022: 21; 2023: 35; 2024: 48; 2025: 63; 2026: 58.

235 papers.

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  1. 2021Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learningcited by 226
  2. 2021MIST: Multiple Instance Self-Training Framework for Video Anomaly Detectioncited by 137
  3. 2023VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detectioncited by 121
  4. 2022Generative Cooperative Learning for Unsupervised Video Anomaly Detectioncited by 102
  5. 2023Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detectioncited by 88
  6. 2022MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detectioncited by 87
  7. 2024Harnessing Large Language Models for Training-free Video Anomaly Detectioncited by 85
  8. 2022CLIP-TSA: CLIP-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly Detectioncited by 67
  9. 2024Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularitycited by 66
  10. 2023Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detectioncited by 64
  11. 2024VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selectioncited by 64
  12. 2024Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLMcited by 63
38 more
  1. 2023Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Modelscited by 59
  2. 2023Open-Vocabulary Video Anomaly Detectioncited by 57
  3. 2024A Closer Look at AUROC and AUPRC under Class Imbalancecited by 56
  4. 2023Video Event Restoration Based on Keyframes for Video Anomaly Detectioncited by 54
  5. 2024Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detectioncited by 49
  6. 2024Advancing Video Anomaly Detection: A Concise Review and a New Datasetcited by 48
  7. 2022Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detectioncited by 47
  8. 2024Hawk: Learning to Understand Open-World Video Anomaliescited by 47
  9. 2024Video Anomaly Detection and Explanation via Large Language Modelscited by 45
  10. 2023Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detectioncited by 43
  11. 2023A New Comprehensive Benchmark for Semi-supervised Video Anomaly Detection and Anticipationcited by 42
  12. 2024Weakly Supervised Video Anomaly Detection and Localization with Spatio-Temporal Promptscited by 40
  13. 2024SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanationscited by 37
  14. 2021HANet: Hierarchical Alignment Networks for Video-Text Retrievalcited by 31
  15. 2022Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detectioncited by 27
  16. 2023Delving into CLIP latent space for Video Anomaly Recognitioncited by 27
  17. 2024Deep Learning for Video Anomaly Detection: A Reviewcited by 27
  18. 2022Modality-Aware Contrastive Instance Learning with Self-Distillation for Weakly-Supervised Audio-Visual Violence Detectioncited by 26
  19. 2022Towards Open Set Video Anomaly Detectioncited by 26
  20. 2022DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Networkcited by 26
  21. 2023Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and Modelcited by 25
  22. 2023Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detectioncited by 25
  23. 2024Large Language Models for Anomaly and Out-of-Distribution Detection: A Surveycited by 24
  24. 2024VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Modelscited by 24
  25. 2023TeD-SPAD: Temporal Distinctiveness for Self-supervised Privacy-preservation for video Anomaly Detectioncited by 23
  26. 2023BatchNorm-based Weakly Supervised Video Anomaly Detectioncited by 22
  27. 2024Learnable Expansion of Graph Operators for Multi-Modal Feature Fusioncited by 22
  28. 2024Networking Systems for Video Anomaly Detection: A Tutorial and Surveycited by 21
  29. 2022Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detectioncited by 20
  30. 2023Hyperbolic Audio-visual Zero-shot Learningcited by 19
  31. 2022CHAD: Charlotte Anomaly Datasetcited by 18
  32. 2023Graph Anomaly Detection in Time Series: A Surveycited by 18
  33. 2024Video Anomaly Detection in 10 Years: A Survey and Outlookcited by 18
  34. 2025UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networkscited by 18
  35. 2024Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baselinecited by 17
  36. 2023Weakly-Supervised Video Anomaly Detection with Snippet Anomalous Attentioncited by 15
  37. 2024A Survey on Safe Multi-Modal Learning Systemcited by 15
  38. 2025PANDA: Towards Generalist Video Anomaly Detection via Agentic AI Engineercited by 15

50 most cited of 235 All 235 (JSON)