MVFFNet: Multi-view feature fusion network for imbalanced ship classification

Maohan Liang, Yang Zhan, Ryan Wen Liu

Abstract: Highlights•A multi-view feature fusion network is proposed to promote ship classification.•A hybrid loss function is proposed to handle the imbalance problem of ship types.•The proposed network has superior performance on both classification accuracy and robustness.