We propose a very fast frame-level model for anomaly detection in video, which learns to detect anomalies by distilling knowledge from multiple highly ...
Jul 14, 2024 · We propose a very fast frame-level model for anomaly detection in video, which learns to detect anomalies by distilling knowledge from multiple ...
Nov 28, 2022 · We propose a very fast frame-level model for anomaly detection in video, which learns to detect anomalies by distilling knowledge from multiple ...
Dec 7, 2024 · In [43] , an adversarial KD approach was developed for frame-level video anomaly detection, introducing a discriminator for each teacher to ...
Lightning fast video anomaly detection via multi-scale adversarial distillation ... Anomaly detection in video via self-supervised and multi-task learning.
Lightning Fast Video Anomaly Detection via Multi-Scale Adversarial Distillation ... adversarial distillation to enhance the fidelity of anomaly maps.
Self-distilled masked auto-encoders are efficient video anomaly detectors ... Lightning fast video anomaly detection via multi-scale adversarial distillation.
Nov 28, 2022 · PDF | We propose a very fast frame-level model for anomaly detection in video, which learns to detect anomalies by distilling knowledge from ...
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A very fast frame-level model for anomaly detection in video, which learns to detect anomalies by dis-tilling knowledge from multiple highly accurate ...
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Lightning fast video anomaly detection via multi-scale adversarial distillation. Abstract. We propose a very fast frame-level model for anomaly detection in ...