2 papers
cs.AI2023
A Comprehensive Augmentation Framework for Anomaly Detection
Jiang Lin, Yaping Yan
Data augmentation methods are commonly integrated into the training of anomaly detection models. Previous approaches have primarily focused on replicating real-world anomalies or e…
cs.CV2023
Active Teacher for Semi-Supervised Object Detection
Peng Mi, Jianghang Lin, Yiyi Zhou +7
In this paper, we study teacher-student learning from the perspective of data initialization and propose a novel algorithm called Active Teacher(Source code are available at: \url{…