paper
arXiv cs.CV
November 18th, 2025 at 5:00 AM

Recognition of Abnormal Events in Surveillance Videos using Weakly Supervised Dual-Encoder Models

arXiv:2511.13276v1 Announce Type: new Abstract: We address the challenge of detecting rare and diverse anomalies in surveillance videos using only video-level supervision. Our dual-backbone framework combines convolutional and transformer representations through top-k pooling, achieving 90.7% area under the curve (AUC) on the UCF-Crime dataset.

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Canonical link: https://arxiv.org/abs/2511.13276