Guansong Pang

Open-Vocabulary Video Anomaly Detection

2023 · arXiv (Cornell University)

Video anomaly detection (VAD) with weak supervision has achieved remarkable performance in utilizing video-level labels to discriminate whether a video frame is normal or abnormal. However, current approaches are inherently limited to a closed-set setting …

Anomaly Detection under Distribution Shift

2023

Anomaly detection (AD) is a crucial machine learning task that aims to learn patterns from a set of normal training samples to identify abnormal samples in test data. Most existing AD studiesassume that the training …

Learning Transferable Negative Prompts for Out-of-Distribution Detection

2024

Existing prompt learning methods have shown certain capabilities in Out-of-Distribution (OOD) detection, but the lack of OOD images in the target dataset in their training can lead to mismatches between OOD images and In-Distribution (ID) …