2 papers
cs.LG2026
IMPACT: Influence Modeling for Open-Set Time Series Anomaly Detection
Xiaohui Zhou, Yijie Wang, Hongzuo Xu +3
Open-set anomaly detection (OSAD) is an emerging paradigm designed to utilize limited labeled data from anomaly classes seen in training to identify both seen and unseen anomalies…
cs.CV2026
SurFITR: A Dataset for Surveillance Image Forgery Detection and Localisation
Qizhou Wang, Guansong Pang, Christopher Leckie
We present the Surveillance Forgery Image Test Range (SurFITR), a dataset for surveillance-style image forgery detection and localisation, in response to recent advances in open-ac…