EPicker is an exemplar-based continual learning approach for knowledge accumulation in cryoEM particle picking

Abstract

Many existing deep learning algorithms for particle picking are not predictable on unseen datasets. Here the authors report an exemplar-based continual learning approach, EPicker, enabling accumulation of new knowledge of cryoEM particle picking without catastrophic forgetting of old knowledge.