Alternatives and similar repositories for CONV-VRNN-for-Anomaly-Detection

Users that are interested in CONV-VRNN-for-Anomaly-Detection are comparing it to the libraries listed below

• StevenLiuWen / sRNN_TSC_Anomaly_Detection
  ☆80Updated 2 years ago
• xaggi / OGNet
  Code for the CVPR 2020 paper 'Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm'
  ☆89Updated 4 years ago
• yiweilu3 / Few-shot-Scene-adaptive-Anomaly-Detection
  ☆80Updated 5 years ago
• h19920918 / memae
  Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (MemAE)
  ☆63Updated 6 years ago
• fjchange / object_centric_VAD
  An Tensorflow Re-Implement of CVPR 2019 "Object-centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video"
  ☆99Updated 3 years ago
• SeaOtter / vad_gan
  Robust Anomaly Detection in Videos using Multilevel Representations
  ☆26Updated 6 years ago
• nguyetn89 / Anomaly_detection_ICCV2019
  Anomaly Detection in Video Sequence with Appearance-Motion Correspondence
  ☆57Updated 5 years ago
• khalooei / ALOCC-CVPR2018
  Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)
  ☆225Updated 4 years ago
• fjchange / pytorch_ano_pre
  Pytorch Re-implement of ano_pre_cvpr2018, flownet2 / lite-flownet used.
  ☆49Updated 3 years ago
• aimagelab / novelty-detection
  Latent space autoregression for novelty detection.
  ☆197Updated 2 years ago
• joeyzhouty / Attention-driven-loss
  Attention-Driven Loss for Anomaly Detection in Video Surveillance
  ☆15Updated 4 years ago
• PramuPerera / OCGAN
  ☆50Updated 2 years ago
• izikgo / AnomalyDetectionTransformations
  A simple and effective method for single-class classification of images
  ☆160Updated 3 years ago
• tnybny / Frame-level-anomalies-in-videos
  Frame level anomaly detection and localization in videos using auto-encoders
  ☆64Updated 3 years ago
• olivesgatech / gradcon-anomaly
  Code for ECCV 2020 paper "Backpropagated Gradient Representations for Anomaly Detection"
  ☆29Updated 5 years ago
• lironber / GOAD
  Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.
  ☆90Updated last year
• johndpope / abnormal-spatiotemporal-ae
  Codes for "Abnormal Event Detection in Videos using Spatiotemporal Autoencoder".
  ☆19Updated 7 years ago
• jx-zhong-for-academic-purpose / GCN-Anomaly-Detection
  Source codes of our paper in CVPR 2019: Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Det…
  ☆243Updated 3 years ago
• amirmk89 / gepc
  Graph Embedded Pose Clustering for Anomaly Detection
  ☆80Updated 5 years ago
• drsagitn / anomaly-detection-and-localization
  ☆22Updated 5 years ago
• zachluo / convlstm_anomaly_detection
  ☆25Updated 5 years ago
• lukasruff / Classification-AD
  Repository for the paper "Rethinking Assumptions in Anomaly Detection"
  ☆36Updated last year
• dmzou / RSRAE
  Robust Subspace Recovery Layer for Unsupervised Anomaly Detection
  ☆37Updated 4 years ago
• donggong1 / memae-anomaly-detection
  MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsuper…
  ☆497Updated 3 years ago
• PramuPerera / TransferLearningNovelty
  ☆23Updated 5 years ago
• xiehousen / OCGAN-Pytorch
  UnOfficial PyTorch Implementation of OCGAN!
  ☆30Updated 5 years ago
• shuuchen / video_autoencoder
  Video lstm auto encoder built with pytorch. https://arxiv.org/pdf/1502.04681.pdf
  ☆40Updated 6 years ago
• yuguangnudt / VEC_VAD
  Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events. Oral paper in ACM Multimedia 2020.
  ☆96Updated 2 years ago
• feiyuhuahuo / Anomaly_Prediction
  Pytorch implementation of anomaly prediction.
  ☆82Updated 4 years ago
• cvlab-yonsei / MNAD
  An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.
  ☆357Updated 9 months ago