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April 12, 2024

A Distillation Network using Improved ConvLSTM for Video Anomaly Detection

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Authors

JLJialong LiCZChunjie ZhouSLShengjie Liu

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Cite This Study

Li et al. (2024) studied this question.

synapsesocial.com/papers/68e6f722b6db643587671fe8https://doi.org/10.1145/3661725.3661779
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection2024
  2. 2Feature-Constrained and Attention-Conditioned Distillation Learning for Visual Anomaly Detection2024 · 2 citations
  3. 3Dual-student knowledge distillation for visual anomaly detection2024 · 11 citations
  4. 4Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection2024
  5. 5Attend, Distill, Detect: Attention-aware Entropy Distillation for Anomaly Detection2024