Yihong Gong

Non-Exemplar Class-Incremental Learning via Adaptive Old Class Reconstruction

2023

In the Class-Incremental Learning (CIL) task, rehearsal-based approaches have received a lot of attention recently. However, storing old class samples is often infeasible in application scenarios where device memory is insufficient or data privacy is …

Few-shot Online Anomaly Detection and Segmentation

2024 · arXiv (Cornell University)

Detecting anomaly patterns from images is a crucial artificial intelligence technique in industrial applications. Recent research in this domain has emphasized the necessity of a large volume of training data, overlooking the practical scenario where, …