Research graph
References from Data-augmented vision system for maritime object detection. Local targets link to admitted publications; unresolved targets remain external evidence.
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Xception: Deep learning with depthwise separable convolutions
10.1109/cvpr.2017.195 · 2017 · External reference
SAR-ShipNet: SAR-ship detection neural network via bidirectional coordinate attention and multi-resolution feature fusion
10.1109/icassp43922.2022.9747359 · 2022 · External reference
Dual-stream contrastive predictive network with joint handcrafted feature view for SAR ship classification
10.1109/icassp48485.2024.10446741 · 2023 · External reference
Generative adversarial networks
2014 · External reference
An efficient multi-sensor fusion approach for object detection in maritime environments
2018 · External reference
Deep residual learning for image recognition
10.1109/cvpr.2016.90 · 2016 · External reference
A systematic review of deep learning data augmentation in medical imaging: Recent advances and future research directions
10.1016/j.health.2024.100340 · 2024 · External reference
Unresolved reference
2026 · External reference
On the modelling of ship wakes in S-band SAR images and an application to ship identification
10.1109/igarss53475.2024.10642130 · 2024 · External reference
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2026 · External reference
A multi-sensor fusion approach for maritime autonomous surface ships berthing navigation perception
10.1016/j.oceaneng.2024.119965 · 2025 · External reference
Unresolved reference
2022 · External reference
Very deep convolutional networks for large-scale image recognition
2014 · External reference
Rethinking the inception architecture for computer vision
10.1109/cvpr.2016.308 · 2016 · External reference
SafeSea: Synthetic data generation for adverse & low probability maritime conditions
10.1109/wacvw60836.2024.00094 · 2023 · External reference
Training deep networks with synthetic data: Bridging the reality gap by domain randomization
10.1109/cvprw.2018.00143 · 2018 · External reference
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Ship classification from overhead imagery using synthetic data and domain adaptation
10.1109/oceans.2018.8604662 · 2019 · External reference
“Deep learning for automatic target recognition with real and synthetic infrared maritime imagery”,
10.1117/12.2573774 · 2020 · External reference
A review of intelligent ship marine object detection based on RGB camera
10.1049/ipr2.12959 · 2024 · External reference
CutMix: Regularization strategy to train strong classifiers with localizable features
10.1109/iccv.2019.00612 · 2019 · External reference
LLMs-guided generative models based long-tail data augmentation for autonomous driving
2025 · External reference
Classification for synthetic aperture radar ship image of the ship targets under the few-shot condition
2023 · External reference
Mixup: Beyond empirical risk minimization
2017 · External reference
Survey on deep learning-based marine object detection
10.1155/2021/5808206 · 2021 · External reference
Ranking ship detection methods using SAR images based on machine learning and artificial intelligence
2021 · External reference
Balance scene learning mechanism for offshore and inshore ship detection in SAR images
10.1109/lgrs.2020.3033988 · 2020 · External reference
