Recognition of Abnormal Events in Surveillance Videos using Weakly Supervised Dual-Encoder Models
Authors: name: Noam Tsfaty; name: Avishai Weizman; name: Liav Cohen; name: Moshe Tshuva; name: Yehudit Aperstein
Published: 2025-11-17 11:47:28

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.