mlsanityData to 14 Oct 2026

DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarios

arXiv 2506.05372 ↗First posted 29 May 2025cs.CVcited by 13

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Abstract (arXiv)

Violence Detection (VD) has become an increasingly vital area of research. Existing automated VD efforts are hindered by the limited availability of diverse, well-annotated databases. Existing databases suffer from coarse video-level annotations, limited scale and diversity, and lack of metadata, restricting the generalization of models. To address these challenges, we introduce DVD, a large-scale (500 videos, 2.7M frames), frame-level annotated VD database with diverse environments, varying lighting conditions, multiple camera sources, complex social interactions, and rich metadata. DVD is designed to capture the complexities of real-world violent events.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 36 of its 65 references that are in the map. First posted on arXiv 29 May 2025.

Builds on

36 of 65 references.

References · 36

  1. 2018Real-world Anomaly Detection in Surveillance Videoscited by 577
  2. 2020Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervisioncited by 238
  3. 2019Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFacecited by 222
  4. 2018Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyondcited by 216
  5. 2020Analysing Affective Behavior in the First ABAW 2020 Competitioncited by 178
  6. 2021Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Frameworkcited by 174
  7. 2021Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Studycited by 168
  8. 2021Analysing Affective Behavior in the second ABAW2 Competitioncited by 163
  9. 2022ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challengescited by 156
  10. 2019Face Behavior a la carte: Expressions, Affect and Action Units in a Single Networkcited by 155
  11. 2023ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challengescited by 110
  12. 2018Aff-Wild2: Extending the Aff-Wild Database for Affect Recognitioncited by 81
24 more
  1. 2024The 6th Affective Behavior Analysis in-the-wild (ABAW) Competitioncited by 78
  2. 2020Deep Transparent Prediction through Latent Representation Analysiscited by 72
  3. 2024Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyondcited by 60
  4. 20247th ABAW Competition: Multi-Task Learning and Compound Expression Recognitioncited by 53
  5. 2019Exploiting multi-CNN features in CNN-RNN based Dimensional Emotion Recognition on the OMG in-the-wild Datasetcited by 39
  6. 2019RWF-2000: An Open Large Scale Video Database for Violence Detectioncited by 39
  7. 2023A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imagingcited by 39
  8. 2018Photorealistic Facial Synthesis in the Dimensional Affect Spacecited by 33
  9. 2022MixAugment & Mixup: Augmentation Methods for Facial Expression Recognitioncited by 31
  10. 2024Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scanscited by 30
  11. 2018A Multi-Task Learning & Generation Framework: Valence-Arousal, Action Units & Primary Expressionscited by 25
  12. 2024COVID-19 Computer-aided Diagnosis through AI-assisted CT Imaging Analysis: Deploying a Medical AI Systemcited by 23
  13. 2018Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigmcited by 20
  14. 2023BTDNet: a Multi-Modal Approach for Brain Tumor Radiogenomic Classificationcited by 20
  15. 2023MMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity Estimationcited by 16
  16. 2024Behaviour4All: in-the-wild Facial Behaviour Analysis Toolkitcited by 16
  17. 2018A Multi-component CNN-RNN Approach for Dimensional Emotion Recognition in-the-wildcited by 15
  18. 2024Uncertainty-guided Contrastive Learning for Single Source Domain Generalisationcited by 14
  19. 2024SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detectioncited by 14
  20. 2024Ensuring UAV Safety: A Vision-only and Real-time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimationcited by 11
  21. 2024CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attentioncited by 8
  22. 2024Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A feasibility studycited by 8
  23. 2024Rethinking Affect Analysis: A Protocol for Ensuring Fairness and Consistencycited by 7
  24. 2024Common Corruptions for Enhancing and Evaluating Robustness in Air-to-Air Visual Object Detectioncited by 1

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Citing papers per year: 2025: 2; 2026: 11.

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