Adaptive Selecting and Learning Network and a New Benchmark for Imbalanced Fine-Grained Ship Classification

Adaptive Selecting and Learning Network and a New Benchmark for Imbalanced Fine-Grained Ship Classification

Ship classification is one of the most essential tasks in ship surveillance, which is an important but challenging problem. Most existing methods are designed for remote sensing images and there are few works processing natural ship images captured by camera. In this paper, we design a new framework...

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Bibliographic Details
Main Authors: Yujie Xu, Minghao Yan, Cheng Xu, Huaidong Zhang, Yijun Liu, Xuemiao Xu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep learning
imbalanced learning
fine-grained ship classification
Online Access:https://ieeexplore.ieee.org/document/9400852/

Internet

https://ieeexplore.ieee.org/document/9400852/

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