Research on Deep Learning Network Compression Method for Missile Borne Image

Abstract

Aiming at the problem that the target recognition algorithm based on deep learning has the characteristics of complex network structure, large amount of parameters and high computation delay, which is difficult to directly apply to the missile-borne task, the network lightweight method are summarized. The advantages and respective characteristics of existing compression methods and lightweight networks are introduced, and the excellent algorithms in va-rious aspects are selected for comparison. Finally, combined with the development of deep learning in the field of target detection, the lightweight missile borne image target recognition algorithm is prospected.

Keywords

• |network model compression|lightweight network|missile borne image|deep learning model|algorithm transplantation