Alternatives and similar repositories for MA-PDM

Users that are interested in MA-PDM are comparing it to the libraries listed below

• Tom-roujiang / MSAD
  Implementation of "Advancing Video Anomaly Detection: A Concise Review and a New Dataset" (NeurIPS 2024). [MSAD Dataset]
  ☆18Updated 5 months ago
• zugexiaodui / campus_vad_code
  ☆24Updated last year
• nwpu-zxr / VadCLIP
  VadCLIP official Pytorch implementation
  ☆170Updated last year
• Junxi-Chen / Awesome-Video-Anomaly-Detection
  A curated collection of papers, code, datasets, and utilities for Video Anomaly Detection, updated every Friday.
  ☆81Updated 2 months ago
• henrryzh1 / UR-DMU
  Official code for AAAI2023 paper "Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection"
  ☆83Updated 8 months ago
• pipixin321 / GlanceVAD
  [ICME 2025 Oral] Official implementation of "GlanceVAD: Exploring Glance Supervision for Label-efficient Video Anomaly Detection"
  ☆31Updated 6 months ago
• pipixin321 / HolmesVAU
  [CVPR 2025 Highlight] Official implementation of "Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity"
  ☆98Updated 6 months ago
• SkiddieAhn / Paper-VideoPatchCore
  [ACCV 2024] PyTorch Implementation of the Paper 'VideoPatchCore': Official Version
  ☆28Updated this week
• ristea / aed-mae
  ☆53Updated 9 months ago
• pipixin321 / HolmesVAD
  Official implementation of "Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM"
  ☆142Updated 6 months ago
• Yuchen413 / AnomalyRuler
  Implementation for paper "Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Model"
  ☆90Updated 9 months ago
• Roc-Ng / DeepVAD
  ☆15Updated last year
• AnasEmad11 / CLAP
  Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline
  ☆22Updated 11 months ago
• rekkles2 / Fed_WSVAD
  [IEEE TII 2025] Official Implementation for "Dual-Detector Reoptimization for Federated Weakly Supervised Video Anomaly Detection via Ada…
  ☆15Updated last week
• ctX-u / PLOVAD
  Source codes of our paper in TCSVT 2025: PLOVAD: Prompting Vision-Language Models for Open Vocabulary Video Anomaly Detection
  ☆15Updated 7 months ago
• vt-le / Video-Anomaly-Detection
  Awesome Video Anomaly Detection
  ☆56Updated last month
• tcc-power / FRD-unsupervised-video-anomaly-detection
  official codes for FRD-UVAD(10 crop version)
  ☆13Updated 10 months ago
• AnilOsmanTur / video_anomaly_diffusion
  [ICIP 2023] Exploring Diffusion Models For Unsupervised Video Anomaly Detection
  ☆25Updated last year
• shengyangsun / HSC_VAD
  Official implementation of "Hierarchical Semantic Contrast for Scene-aware Video Anomaly Detection"
  ☆27Updated 2 years ago
• Roc-Ng / VAR
  ☆16Updated last year
• ktr-hubrt / UMIL
  ☆61Updated last year
• jakubmicorek / MULDE-Multiscale-Log-Density-Estimation-via-Denoising-Score-Matching-for-Video-Anomaly-Detection
  ☆48Updated last year
• wbfwonderful / Fed-WSVAD
  Official code for "Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt" (AAAI2025)
  ☆18Updated 4 months ago
• ktr-hubrt / VAD-LLaMA
  Official implement of VAD-LLaMA
  ☆17Updated last year
• lucazanella / lavad
  Official implementation of "Harnessing Large Language Models for Training-free Video Anomaly Detection", CVPR 2024
  ☆107Updated last year
• Beyond-Zw / DLAN-AC
  ☆10Updated last year
• vt-le / HSTforU
  This is an official implement for "HSTforU: Anomaly Detection in Aerial and Ground-based Videos with Hierarchical Spatio-Temporal Transfo…
  ☆38Updated 7 months ago
• coranholmes / TEVAD
  Official implementation for paper TEVAD: Improved video anomaly detection with captions
  ☆34Updated 2 years ago
• vera-framework / VERA
  This is the code repo for the paper VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models (CVPR 202…
  ☆42Updated last week
• yujiangpu20 / PEL4VAD
  Official code for "Learning Prompt-Enhanced Context features for Weakly-Supervised Video Anomlay Detection" (IEEE-TIP)
  ☆94Updated last year