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  1. Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series- Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series- Public

    Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based) settings for anaomaly detection in time series data

    Python 114 34

  2. SP-ViT-Learning-2D-Spatial-Priors-for-Vision-Transformers SP-ViT-Learning-2D-Spatial-Priors-for-Vision-Transformers Public

    This is the official implementation of our BMVC 2022 paper "SP-ViT: Learning 2D Spatial Priors for Vision Transformers"

    Python 12

  3. boschresearch/hierarchical_anomaly_detection boschresearch/hierarchical_anomaly_detection Public

    Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and features" (NeurIPS 2020)

    Python 42 4

  4. BlockGCN BlockGCN Public

    This is the official implementation of our CVPR 2024 paper "BlockGCN: Redefine Topology Awareness for Skeleton-Based Action Recognition"

    Python 27 5

  5. Hyperformer Hyperformer Public

    This is the official implementation of our paper "Hypergraph Transformer for Skeleton-based Action Recognition."

    Python 64 14