Research graph
References from A computational intelligence framework for multimodal oceanic data analysis and predictive modeling in sustainable marine resource management. Local targets link to admitted publications; unresolved targets remain external evidence.
An integrated database of ocean temperature and salinity observations
10.1002/2014jc010053 · 2014 · External reference
Transfusion: Robust lidar-camera fusion for 3d object detection with transformers
10.1109/cvpr52688.2022.00116 · 2022 · External reference
Salient object detection: A benchmark
10.1007/978-3-642-33709-3_30 · 2015 · External reference
Cascade r-cnn: Delving into high quality object detection
2017 · External reference
End-to-end object detection with transformers
10.1007/978-3-030-58452-8_13 · 2020 · External reference
Domain adaptive faster r-cnn for object detection in the wild
10.1109/cvpr.2018.00352 · 2018 · External reference
Voxelnext: Fully sparse voxelnet for 3d object detection and tracking
10.1109/cvpr52729.2023.02076 · 2023 · External reference
Multi-view 3d object detection network for autonomous driving
2016 · External reference
Yolo-world: Real-time openvocabulary object detection
2024 · External reference
Nasa nemo-net-a neural multimodal observation & training network for marine ecosystem mapping at diverse spatiotemporal scales
2020 · External reference
Centernet: Keypoint triplets for object detection
10.1109/iccv.2019.00667 · 2019 · External reference
Multimodal ai-enhanced ship detection for mapping fishing vessels and informing on suspicious activities
10.1016/j.patrec.2025.02.022 · 2025 · External reference
Open-vocabulary object detection via vision and language knowledge distillation
2021 · External reference
The potential for blue growth in marine fish yield, profit and abundance of fish in the ocean
10.1016/j.marpol.2017.02.003 · 2018 · External reference
Adam: A method for stochastic optimization
2014 · External reference
Is diversity the missing link in coastal fisheries management
10.3390/d14020090 · 2022 · External reference
Tracking the global footprint of fisheries
10.1126/science.aao5646 · 2018 · External reference
Integrated explainable deep learning prediction of harmful algal blooms
10.1016/j.techfore.2022.122046 · 2022 · External reference
Bevdepth: Acquisition of reliable depth for multi-view 3d object detection
2022 · External reference
Dual-stream gnn fusion network for hyperspectral classification: W. li et al
10.1007/s10489-023-04960-3 · 2023 · External reference
Exploring plain vision transformer backbones for object detection
10.1007/978-3-031-20077-9_17 · 2022 · External reference
Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection
2020 · External reference
Feature pyramid networks for object detection
2016 · External reference
Focal loss for dense object detection
10.1109/iccv.2017.324 · 2017 · External reference
Deep learning for generic object detection: A survey
10.1007/s11263-019-01247-4 · 2018 · External reference
Grounding dino: Marrying dino with grounded pre-training for open-set object detection
2023 · External reference
Detrs beat yolos on real-time object detection
2023 · External reference
Machine intelligence and the data-driven future of marine science
10.1093/icesjms/fsz057 · 2020 · External reference
Performance assessment of modified ecostorm hydrodynamic separator
2008 · External reference
You only look once: Unified, real-time object detection
2015 · External reference
Faster r-cnn: Towards real-time object detection with region proposal networks
10.1109/tpami.2016.2577031 · 2015 · External reference
Pointrcnn: 3d object proposal generation and detection from point cloud
2018 · External reference
The ocean observatories initiative
10.5670/oceanog.2018.105 · 2018 · External reference
Efficientdet: Scalable and efficient object detection
2019 · External reference
Fcos: Fully convolutional one-stage object detection
10.1109/iccv.2019.00972 · 2019 · External reference
Yolov8: A novel object detection algorithm with enhanced performance and robustness
10.1109/adics58448.2024.10533619 · 2024 · External reference
Cut and learn for unsupervised object detection and instance segmentation
10.1109/cvpr52729.2023.00305 · 2023 · External reference
Detr3d: 3d object detection from multi-view images via 3d-to-2d queries
2021 · External reference
Mm-transformer: A transformer-based knowledge graph link prediction model that fuses multimodal features
10.3390/sym16080961 · 2024 · External reference
Fusion of ocean data from multiple sources using deep learning: Utilizing sea temperature as an example
10.3389/fmars.2023.1112065 · 2023 · External reference
Center-based 3d object detection and tracking
2020 · External reference
Dino: Detr with improved denoising anchor boxes for end-to-end object detection
2022 · External reference
Voxelnet: End-to-end learning for point cloud based 3d object detection
2017 · External reference
Tph-yolov5: Improved yolov5 based on transformer prediction head for object detection on drone-captured scenarios
10.1109/iccvw54120.2021.00312 · 2021 · External reference
Deformable detr: Deformable transformers for end-to-end object detection
2020 · External reference
Object detection in 20 years: A survey
2019 · External reference
An adaptive multi-objective decision system with reinforcement learning for pv-ess sizing and operation for gridconnected industrial pv-ess systems in distribution networks
10.1109/access.2025.3600985 · 2025 · External reference
An integrated database of ocean temperature and salinity observations
10.1002/2014jc010053 · ExternalCitation · doi-reference
End-to-end object detection with transformers
10.1007/978-3-030-58452-8_13 · ExternalCitation · doi-reference
Exploring plain vision transformer backbones for object detection
10.1007/978-3-031-20077-9_17 · ExternalCitation · doi-reference
Salient object detection: A benchmark
10.1007/978-3-642-33709-3_30 · ExternalCitation · doi-reference
Dual-stream gnn fusion network for hyperspectral classification: W. li et al
10.1007/s10489-023-04960-3 · ExternalCitation · doi-reference
Deep learning for generic object detection: A survey
10.1007/s11263-019-01247-4 · ExternalCitation · doi-reference
The potential for blue growth in marine fish yield, profit and abundance of fish in the ocean
10.1016/j.marpol.2017.02.003 · ExternalCitation · doi-reference
Multimodal ai-enhanced ship detection for mapping fishing vessels and informing on suspicious activities
10.1016/j.patrec.2025.02.022 · ExternalCitation · doi-reference
Integrated explainable deep learning prediction of harmful algal blooms
10.1016/j.techfore.2022.122046 · ExternalCitation · doi-reference
Machine intelligence and the data-driven future of marine science
10.1093/icesjms/fsz057 · ExternalCitation · doi-reference
An adaptive multi-objective decision system with reinforcement learning for pv-ess sizing and operation for gridconnected industrial pv-ess systems in distribution networks
10.1109/access.2025.3600985 · ExternalCitation · doi-reference
Yolov8: A novel object detection algorithm with enhanced performance and robustness
10.1109/adics58448.2024.10533619 · ExternalCitation · doi-reference
Domain adaptive faster r-cnn for object detection in the wild
10.1109/cvpr.2018.00352 · ExternalCitation · doi-reference
Transfusion: Robust lidar-camera fusion for 3d object detection with transformers
10.1109/cvpr52688.2022.00116 · ExternalCitation · doi-reference
Cut and learn for unsupervised object detection and instance segmentation
10.1109/cvpr52729.2023.00305 · ExternalCitation · doi-reference
Voxelnext: Fully sparse voxelnet for 3d object detection and tracking
10.1109/cvpr52729.2023.02076 · ExternalCitation · doi-reference
Focal loss for dense object detection
10.1109/iccv.2017.324 · ExternalCitation · doi-reference
Centernet: Keypoint triplets for object detection
10.1109/iccv.2019.00667 · ExternalCitation · doi-reference
Fcos: Fully convolutional one-stage object detection
10.1109/iccv.2019.00972 · ExternalCitation · doi-reference
Tph-yolov5: Improved yolov5 based on transformer prediction head for object detection on drone-captured scenarios
10.1109/iccvw54120.2021.00312 · ExternalCitation · doi-reference
Faster r-cnn: Towards real-time object detection with region proposal networks
10.1109/tpami.2016.2577031 · ExternalCitation · doi-reference
Tracking the global footprint of fisheries
10.1126/science.aao5646 · ExternalCitation · doi-reference
Fusion of ocean data from multiple sources using deep learning: Utilizing sea temperature as an example
10.3389/fmars.2023.1112065 · ExternalCitation · doi-reference
Is diversity the missing link in coastal fisheries management
10.3390/d14020090 · ExternalCitation · doi-reference
Mm-transformer: A transformer-based knowledge graph link prediction model that fuses multimodal features
10.3390/sym16080961 · ExternalCitation · doi-reference
The ocean observatories initiative
10.5670/oceanog.2018.105 · ExternalCitation · doi-reference
