21 citations · 56 across the 25 of their papers we have counts for
Showing 2022Show all
3 papers · 1 filter
cs.CV2022★ 21 cited
An Attribute-based Method for Video Anomaly Detection
Tal Reiss, Yedid Hoshen
Video anomaly detection (VAD) identifies suspicious events in videos, which is critical for crime prevention and homeland security. In this paper, we propose a simple but highly ef…
cs.CV2022★ 5 cited
Improving Zero-Shot Models with Label Distribution Priors
Jonathan Kahana, Niv Cohen, Yedid Hoshen
Labeling large image datasets with attributes such as facial age or object type is tedious and sometimes infeasible. Supervised machine learning methods provide a highly accurate s…
cs.CV2022★ 4 cited
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection
Eliahu Horwitz, Yedid Hoshen
Despite significant advances in image anomaly detection and segmentation, few methods use 3D information. We utilize a recently introduced 3D anomaly detection dataset to evaluate…