Visual Recognition Based on Deep Learning for Navigation Mark Classification
Recognizing objects from camera images is an important field for researching smart ships and intelligent navigation. In sea transportation, navigation marks indicating the features of navigational environments (e.g. channels, special areas, wrecks, etc.) are focused in this paper. A fine-grained cla...
Main Authors: | Mingyang Pan, Yisai Liu, Jiayi Cao, Yu Li, Chao Li, Chi-Hua Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8998243/ |
Similar Items
-
Attention Block Based on Binary Pooling
by: Chang Chen, et al.
Published: (2023-09-01) -
An Improved ResNet-50 for Garbage Image Classification
by: Xiaoxuan Ma, et al.
Published: (2022-01-01) -
Recognition and Classification of Ship Images Based on SMS-PCNN Model
by: Fengxiang Wang, et al.
Published: (2022-06-01) -
A Deep Learning Review of ResNet Architecture for Lung Disease Identification in CXR Image
by: Syifa Auliyah Hasanah, et al.
Published: (2023-12-01) -
RBCN-Net: A Data-Driven Inertial Navigation Algorithm for Pedestrians
by: Yiqi Zhu, et al.
Published: (2023-02-01)