Anomaly Detection In Surveillance Videos

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

7 leaderboard tables shown for this task, 7 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

8 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 44 papers with code (66 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Real-world Anomaly Detection in Surveillance Videos
  12 Jan 2018 9 repositories listed Syntology ran 4 of 6 samples · 2 unverified · 4 pointer-only (licence)
  To avoid annotating the anomalous segments or clips in training videos, which is very time consuming, we propose to learn anomaly through the deep multiple instance ranking framework by leveraging weakly labeled…
• Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning
  25 Jan 2021 3 repositories listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)
  To address this issue, we introduce a novel and theoretically sound method, named Robust Temporal Feature Magnitude learning (RTFM), which trains a feature magnitude learning function to effectively recognise the…
• ADNet: Temporal Anomaly Detection in Surveillance Videos
  14 Apr 2021 2 repositories listed
  Additionally, we propose to use F1@k metric for temporal anomaly detection.
• A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video
  27 Aug 2020 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Following the standard formulation of abnormal event detection as outlier detection, we propose a background-agnostic framework that learns from training videos containing only normal events.
• Learning Memory-guided Normality for Anomaly Detection
  30 Mar 2020 2 repositories listed
  To address this problem, we present an unsupervised learning approach to anomaly detection that considers the diversity of normal patterns explicitly, while lessening the representation capacity of CNNs.
• Dual‑detector Re‑optimization for Federated Weakly Supervised Video Anomaly Detection Via Adaptive Dynamic Recursive Mapping
  13 Jun 2025 1 repository listed
  Federated weakly supervised video anomaly detection represents a significant advancement in privacy-preserving collaborative learning, enabling distributed clients to train anomaly detectors using only video-level…
• Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection
  5 May 2025 1 repository listed
  Most existing video anomaly detectors rely solely on RGB frames, which lack the temporal resolution needed to capture abrupt or transient motion cues, key indicators of anomalous events.
• ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications
  4 May 2025 1 repository listed
  Weakly-supervised video anomaly detection (WS-VAD) using Multiple Instance Learning (MIL) suffers from label ambiguity, hindering discriminative feature learning.
• STEAD: Spatio-Temporal Efficient Anomaly Detection for Time and Compute Sensitive Applications
  11 Mar 2025 1 repository listed
  This paper presents a new method for anomaly detection in automated systems with time and compute sensitive requirements, such as autonomous driving, with unparalleled efficiency.
• Aligning First, Then Fusing: A Novel Weakly Supervised Multimodal Violence Detection Method
  13 Jan 2025 1 repository listed
  Weakly supervised violence detection refers to the technique of training models to identify violent segments in videos using only video-level labels.
• MTFL: Multi-Timescale Feature Learning for Weakly-Supervised Anomaly Detection in Surveillance Videos
  8 Oct 2024 1 repository listed
  Detection of anomaly events is relevant for public safety and requires a combination of fine-grained motion information and contextual events at variable time-scales.
• Multi-scale Bottleneck Transformer for Weakly Supervised Multimodal Violence Detection
  8 May 2024 1 repository listed
  In the pursuit of effective multimodal violence detection (MVD), information redundancy, modality imbalance, and modality asynchrony are identified as three key challenges.
• MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection
  21 Mar 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We propose a novel approach to video anomaly detection: we treat feature vectors extracted from videos as realizations of a random variable with a fixed distribution and model this distribution with a neural network.
• BatchNorm-based Weakly Supervised Video Anomaly Detection
  26 Nov 2023 1 repository listed Syntology ran 3 of 5 samples · 2 unverified · 5 pointer-only (licence)
  In the proposed BN-WVAD, we leverage the Divergence of Feature from Mean vector (DFM) of BatchNorm as a reliable abnormality criterion to discern potential abnormal snippets in abnormal videos.
• A MIL Approach for Anomaly Detection in Surveillance Videos from Multiple Camera Views
  2 Jul 2023 1 repository listed
  In this paper, we tackle these typical problems of anomaly detection in surveillance video by combining Multiple Instance Learning (MIL) to deal with the lack of labels and Multiple Camera Views (MC) to reduce occlusion…
• Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection
  26 Jun 2023 1 repository listed Syntology ran 0 of 9 samples · 9 unverified
  Additionally, we propose a Prompt-Enhanced Learning (PEL) module that integrates semantic priors using knowledge-based prompts to boost the discriminative capacity of context features while ensuring separability between…
• Learning Weakly Supervised Audio-Visual Violence Detection in Hyperbolic Space
  30 May 2023 1 repository listed
  To overcome this, we propose HyperVD, a novel framework that learns snippet embeddings in hyperbolic space to improve model discrimination.
• Diversity-Measurable Anomaly Detection
  9 Mar 2023 1 repository listed Syntology ran 6 of 11 samples · 5 unverified · 11 pointer-only (licence)
  In this paper, to better handle the tradeoff problem, we propose Diversity-Measurable Anomaly Detection (DMAD) framework to enhance reconstruction diversity while avoid the undesired generalization on anomalies.
• MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection
  28 Nov 2022 1 repository listed
  Weakly supervised detection of anomalies in surveillance videos is a challenging task.
• Normalizing Flows for Human Pose Anomaly Detection
  20 Nov 2022 1 repository listed
  Video anomaly detection is an ill-posed problem because it relies on many parameters such as appearance, pose, camera angle, background, and more.
• Self-supervised Sparse Representation for Video Anomaly Detection
  23 Oct 2022 1 repository listed
  Video anomaly detection (VAD) aims at localizing unexpected actions or activities in a video sequence.
• Consistency-based Self-supervised Learning for Temporal Anomaly Localization
  10 Aug 2022 1 repository listed
  This work tackles Weakly Supervised Anomaly detection, in which a predictor is allowed to learn not only from normal examples but also from a few labeled anomalies made available during training.
• Modality-Aware Contrastive Instance Learning with Self-Distillation for Weakly-Supervised Audio-Visual Violence Detection
  12 Jul 2022 1 repository listed Syntology ran 2 of 10 samples · 8 unverified
  In this paper, we analyze the modality asynchrony and undifferentiated instances phenomena of the multiple instance learning (MIL) procedure, and further investigate its negative impact on weakly-supervised audio-visual…
• Anomaly detection in surveillance videos using transformer based attention model
  3 Jun 2022 1 repository listed
  Therefore it is important to extract better quality features from the available videos.
• Attention-based residual autoencoder for video anomaly detection
  25 May 2022 1 repository listed
  Automatic anomaly detection is a crucial task in video surveillance system intensively used for public safety and others.
• Audio-Guided Attention Network for Weakly Supervised Violence Detection
  21 Feb 2022 1 repository listed
  Detecting violence in video is a challenging task due to its complex scenarios and great intra-class variability.
• VFP290K: A Large-Scale Benchmark Dataset for Vision-based Fallen Person Detection
  14 Jan 2022 1 repository listed
  Accordingly, detection of these anomalous events is of paramount importance for a number of applications, including but not limited to CCTV surveillance, security, and health care.
• Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly Detection
  7 Dec 2021 1 repository listed
  Different from pixel-based anomaly detection methods, pose-based methods utilize highly-structured skeleton data, which decreases the computational burden and also avoids the negative impact of background noise.
• FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation
  16 Jun 2021 1 repository listed
  Video anomaly detection has gained significant attention due to the increasing requirements of automatic monitoring for surveillance videos.
• Real-Time Anomaly Detection and Feature Analysis Based on Time Series for Surveillance Video
  11 May 2021 1 repository listed
  The intelligent surveillance system urgently needs the real-time machine recognition of abnormal events to solve the extremely uneven human supervision resource and digital cameras.

Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.