5 papers
Find the Leak, Fix the Split: Cluster-Based Method to Prevent Leakage in Video-Derived Datasets
Noam Glazner, Noam Tsfaty, Sharon Shalev +1
We propose a cluster-based frame selection strategy to mitigate information leakage in video-derived frames datasets. By grouping visually similar frames before splitting into trai…
YOLO Meets Mixture-of-Experts: Adaptive Expert Routing for Robust Object Detection
Ori Meiraz, Sharon Shalev, Avishai Weizman
This paper presents a novel Mixture-of-Experts framework for object detection, incorporating adaptive routing among multiple YOLOv9-T experts to enable dynamic feature specializati…
Recognition of Abnormal Events in Surveillance Videos using Weakly Supervised Dual-Encoder Models
Noam Tsfaty, Avishai Weizman, Liav Cohen +2
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 t…
ASVspoof2019 vs. ASVspoof5: Assessment and Comparison
Avishai Weizman, Yehuda Ben-Shimol, Itshak Lapidot
ASVspoof challenges are designed to advance the understanding of spoofing speech attacks and encourage the development of robust countermeasure systems. These challenges provide a…
Tandem spoofing-robust automatic speaker verification based on time-domain embeddings
Avishai Weizman, Yehuda Ben-Shimol, Itshak Lapidot
Spoofing-robust automatic speaker verification (SASV) systems are a crucial technology for the protection against spoofed speech. In this study, we focus on logical access attacks…