MGE: A Training-Free and Efficient Model Generation and Enhancement Scheme

arXiv:2402.17486v1 Announce Type: new
Abstract: To provide a foundation for the research of deep learning models, the construction of model pool is an essential step. This paper proposes a Training-Free and Efficient Model Generation and Enhancement Scheme (MGE). This scheme primarily considers two aspects during the model generation process: the distribution of model parameters and model performance. Experiments result shows that generated models are comparable to models obtained through normal training, and even superior in some cases. Moreover, the time …

abstract arxiv construction cs.cv deep learning foundation free paper pool process research training type