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1. Temporal-Pooling-in-Inflated-3DCNN-for-Weakly-supervised-Video-Anomaly-Detection Temporal-Pooling-in-Inflated-3DCNN-for-Weakly-supervised-Video-Anomaly-Detection Public

   Anomaly detection in surveillance videos requires significant attention in feature engineering to discriminate anomaly activity patterns from normal patterns. Keeping this in mind, this paper aims …

   Python 4 1

2. DAM-Anomaly-Detection DAM-Anomaly-Detection Public

   [AVSS21 Oral] A framework consisting of Dissimilarity Attention Module (DAM) to discriminate the anomaly instances from normal ones both at feature level and score level. In order to decide instanc…

   Python 4

3. JointDetectClassify JointDetectClassify Public

   [FG 2021 Poster] A network that jointly handles the anomaly detection and classification in a single framework by adopting a weakly-supervised learning paradigm. In weakly-supervised learning inste…

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4. TokenLearner TokenLearner Public

   Forked from ariG23498/TokenLearner

   TensorFlow implementation of "TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?"

   Jupyter Notebook