Research graph
References from DSDNet: A lightweight Divide-and-Conquer Network via deep-shallow feature specialization for deep-sea polymetallic nodule video segmentation. Local targets link to admitted publications; unresolved targets remain external evidence.
Dual correlation network for efficient video semantic segmentation
10.1109/tcsvt.2023.3298644 · 2023 · External reference
Contemporary technological progress in deep-sea mining
2024 · External reference
Unresolved reference
2012 · External reference
Meganet: Multi-scale edge-guided attention network for weak boundary polyp segmentation
2024 · External reference
Unresolved reference
2021 · External reference
10.1109/cvpr52688.2022.01138
10.1109/cvpr52688.2022.01138 · External reference
10.1109/iccv51701.2025.01984
10.1109/iccv51701.2025.01984 · External reference
Rectifying noisy labels with sequential prior: Multi-scale temporal feature affinity learning for robust video segmentation
2023 · External reference
Learning global dynamic query for large–motion infrared small target detection
2026 · External reference
GSFANet: Global spatial-frequency attention network for infrared small target detection
2025 · External reference
Semi-supervised learning network for deep-sea nodule mineral image segmentation
10.1016/j.apor.2024.104356 · 2025 · External reference
Deep-sea mineral resource mining: a historical review, developmental progress, and insights
2024 · External reference
Advancing underwater vision: a survey of deep learning models for underwater object recognition and tracking
10.1109/access.2025.3534098 · 2025 · External reference
Lightweight and real-time semantic segmentation of UAV traffic videos based on siamese network for keyframe recognition
10.1007/s11042-024-19391-6 · 2025 · External reference
An interpretable multi-model machine learning approach for spatial mapping of deep-sea polymetallic nodule occurrences
10.1007/s11053-024-10393-7 · 2024 · External reference
Unresolved reference
2023 · External reference
Automated quantification of seafloor polymetallic nodule coverage with an improved YOLOv11n-seg model
2025 · External reference
Image segmentation and coverage estimation of deep-sea polymetallic nodules based on lightweight deep learning model
10.1038/s41598-025-89952-8 · 2025 · External reference
10.1109/cvpr52734.2025.02255
10.1109/cvpr52734.2025.02255 · External reference
10.1109/cvpr42600.2020.00884
10.1109/cvpr42600.2020.00884 · External reference
Unresolved reference
2025 · External reference
10.1109/cvpr.2019.00907
10.1109/cvpr.2019.00907 · External reference
Condseg: A general medical image segmentation framework via contrast-driven feature enhancement
2025 · External reference
Subsea nodule recognition and deployment detection method based on improved yolov8s
2025 · External reference
BCS-net: Multi-task breast cancer screening network enhanced by multi-modality attention
2025 · External reference
10.1109/cvpr.2018.00628
10.1109/cvpr.2018.00628 · External reference
Learning effective feature representation for video object segmentation via memory
10.1016/j.knosys.2024.112020 · 2024 · External reference
10.1109/cvpr52688.2022.00142
10.1109/cvpr52688.2022.00142 · External reference
Target recognition and segmentation in turbid water using data from non-turbid conditions: a unified approach and experimental validation
10.1364/oe.524714 · 2024 · External reference
Infrared small target detection with scale and location sensitivity
2024 · External reference
Efficient semantic video segmentation with per-frame inference
2020 · External reference
Vmamba: Visual state space model
10.52202/079017-3273 · 2024 · External reference
FLS-GAN: An end-to-end super-resolution enhancement framework for FLS terrain in deep-sea mining vehicles
10.1016/j.oceaneng.2025.121369 · 2025 · External reference
Visualizing data using t-SNE
2008 · External reference
Breaking the ice: Video segmentation for close-range ice-covered waters
10.1016/j.oceaneng.2025.122105 · 2025 · External reference
10.1109/cvpr.2017.224
10.1109/cvpr.2017.224 · External reference
Survey on fast dense video segmentation techniques
10.1016/j.cviu.2024.103959 · 2024 · External reference
Unresolved reference
2021 · External reference
Unresolved reference
2018 · External reference
Sam 2: Segment anything in images and videos
2025 · External reference
U-net: Convolutional networks for biomedical image segmentation
2015 · External reference
10.1109/iccv.2017.74
10.1109/iccv.2017.74 · External reference
Polymetallic nodule resource assessment of seabed photography based on denoising diffusion probabilistic models
10.3390/jmse11081494 · 2023 · External reference
Economic potential of polymetallic nodules mining
2024 · External reference
Clockwork convnets for video semantic segmentation
2016 · External reference
An improved u-net convolutional networks for seabed mineral image segmentation
10.1109/access.2019.2923753 · 2019 · External reference
Fourier-guided dehazing for IoT edge vision: Modeling nonhomogeneous haze with a cyclic mamba-enhanced transformer
10.1109/jiot.2025.3627558 · 2026 · External reference
Learning local and global temporal contexts for video semantic segmentation
10.1109/tpami.2024.3387326 · 2024 · External reference
Unext: Mlp-based rapid medical image segmentation network
2022 · External reference
Improved U-net-based novel segmentation algorithm for underwater mineral image
10.32604/iasc.2022.023994 · 2022 · External reference
Mask propagation for efficient video semantic segmentation
10.52202/075280-0314 · 2023 · External reference
High-resolution underwater creature segmentation
10.1109/tip.2025.3633990 · 2025 · External reference
10.1109/cvpr.2018.00686
10.1109/cvpr.2018.00686 · External reference
Semantic consistency learning across temporal scales for weakly supervised video anomaly detection
2026 · External reference
CFD–DEM-based design and optimization of a new mechanical collector for deep-sea nodules
10.1016/j.oceaneng.2026.124443 · 2026 · External reference
Vivim: a video vision mamba for ultrasound video segmentation
10.1109/tcsvt.2025.3563411 · 2025 · External reference
Semantic segmentation of deep-sea polymetallic nodules based on an improved DeepLabV3+ algorithm
10.1080/1064119x.2025.2550000 · 2026 · External reference
TFST: Two-frame ship tracking for SAR using YOLOv12 and feature-based matching
10.1109/jstars.2025.3647680 · 2025 · External reference
TDSNet: A temporal difference based network for video semantic segmentation
10.1016/j.ins.2024.121335 · 2025 · External reference
10.1109/wacv51458.2022.00269
10.1109/wacv51458.2022.00269 · External reference
Segmentation and abundance estimation of deep-sea polymetallic nodule images based on AttMSD-uformer
10.1109/jstars.2026.3678270 · 2026 · External reference
Video generalized semantic segmentation via non-salient feature reasoning and consistency
10.1016/j.knosys.2024.111584 · 2024 · External reference
ISNet: Shape matters for infrared small target detection
2022 · External reference
An edge-guided dictionary-learning segmentation network for polymetallic nodules
10.1088/1361-6501/ae5079 · 2026 · External reference
10.1109/cvpr52733.2024.01760
10.1109/cvpr52733.2024.01760 · External reference
A survey on deep learning technique for video segmentation
10.1109/tpami.2022.3225573 · 2022 · External reference
Characterization of the engineering properties of deep-sea sediments in the western Pacific polymetallic nodule region
2026 · External reference
10.1109/cvpr.2017.441
10.1109/cvpr.2017.441 · External reference
Improving underwater semantic segmentation with underwater image quality attention and muti-scale aggregation attention
10.1007/s10044-025-01460-7 · 2025 · External reference
Improving underwater semantic segmentation with underwater image quality attention and muti-scale aggregation attention
10.1007/s10044-025-01460-7 · ExternalCitation · doi-reference
Lightweight and real-time semantic segmentation of UAV traffic videos based on siamese network for keyframe recognition
10.1007/s11042-024-19391-6 · ExternalCitation · doi-reference
An interpretable multi-model machine learning approach for spatial mapping of deep-sea polymetallic nodule occurrences
10.1007/s11053-024-10393-7 · ExternalCitation · doi-reference
Semi-supervised learning network for deep-sea nodule mineral image segmentation
10.1016/j.apor.2024.104356 · ExternalCitation · doi-reference
Survey on fast dense video segmentation techniques
10.1016/j.cviu.2024.103959 · ExternalCitation · doi-reference
TDSNet: A temporal difference based network for video semantic segmentation
10.1016/j.ins.2024.121335 · ExternalCitation · doi-reference
Video generalized semantic segmentation via non-salient feature reasoning and consistency
10.1016/j.knosys.2024.111584 · ExternalCitation · doi-reference
Learning effective feature representation for video object segmentation via memory
10.1016/j.knosys.2024.112020 · ExternalCitation · doi-reference
FLS-GAN: An end-to-end super-resolution enhancement framework for FLS terrain in deep-sea mining vehicles
10.1016/j.oceaneng.2025.121369 · ExternalCitation · doi-reference
Breaking the ice: Video segmentation for close-range ice-covered waters
10.1016/j.oceaneng.2025.122105 · ExternalCitation · doi-reference
CFD–DEM-based design and optimization of a new mechanical collector for deep-sea nodules
10.1016/j.oceaneng.2026.124443 · ExternalCitation · doi-reference
Image segmentation and coverage estimation of deep-sea polymetallic nodules based on lightweight deep learning model
10.1038/s41598-025-89952-8 · ExternalCitation · doi-reference
Semantic segmentation of deep-sea polymetallic nodules based on an improved DeepLabV3+ algorithm
10.1080/1064119x.2025.2550000 · ExternalCitation · doi-reference
An edge-guided dictionary-learning segmentation network for polymetallic nodules
10.1088/1361-6501/ae5079 · ExternalCitation · doi-reference
An improved u-net convolutional networks for seabed mineral image segmentation
10.1109/access.2019.2923753 · ExternalCitation · doi-reference
Advancing underwater vision: a survey of deep learning models for underwater object recognition and tracking
10.1109/access.2025.3534098 · ExternalCitation · doi-reference
10.1109/cvpr.2017.224
10.1109/cvpr.2017.224 · ExternalCitation · doi-reference
10.1109/cvpr.2017.441
10.1109/cvpr.2017.441 · ExternalCitation · doi-reference
10.1109/cvpr.2018.00628
10.1109/cvpr.2018.00628 · ExternalCitation · doi-reference
10.1109/cvpr.2018.00686
10.1109/cvpr.2018.00686 · ExternalCitation · doi-reference
10.1109/cvpr.2019.00907
10.1109/cvpr.2019.00907 · ExternalCitation · doi-reference
10.1109/cvpr42600.2020.00884
10.1109/cvpr42600.2020.00884 · ExternalCitation · doi-reference
10.1109/cvpr52688.2022.00142
10.1109/cvpr52688.2022.00142 · ExternalCitation · doi-reference
10.1109/cvpr52688.2022.01138
10.1109/cvpr52688.2022.01138 · ExternalCitation · doi-reference
10.1109/cvpr52733.2024.01760
10.1109/cvpr52733.2024.01760 · ExternalCitation · doi-reference
10.1109/cvpr52734.2025.02255
10.1109/cvpr52734.2025.02255 · ExternalCitation · doi-reference
10.1109/iccv.2017.74
10.1109/iccv.2017.74 · ExternalCitation · doi-reference
10.1109/iccv51701.2025.01984
10.1109/iccv51701.2025.01984 · ExternalCitation · doi-reference
Fourier-guided dehazing for IoT edge vision: Modeling nonhomogeneous haze with a cyclic mamba-enhanced transformer
10.1109/jiot.2025.3627558 · ExternalCitation · doi-reference
TFST: Two-frame ship tracking for SAR using YOLOv12 and feature-based matching
10.1109/jstars.2025.3647680 · ExternalCitation · doi-reference
Segmentation and abundance estimation of deep-sea polymetallic nodule images based on AttMSD-uformer
10.1109/jstars.2026.3678270 · ExternalCitation · doi-reference
Dual correlation network for efficient video semantic segmentation
10.1109/tcsvt.2023.3298644 · ExternalCitation · doi-reference
Vivim: a video vision mamba for ultrasound video segmentation
10.1109/tcsvt.2025.3563411 · ExternalCitation · doi-reference
High-resolution underwater creature segmentation
10.1109/tip.2025.3633990 · ExternalCitation · doi-reference
A survey on deep learning technique for video segmentation
10.1109/tpami.2022.3225573 · ExternalCitation · doi-reference
Learning local and global temporal contexts for video semantic segmentation
10.1109/tpami.2024.3387326 · ExternalCitation · doi-reference
10.1109/wacv51458.2022.00269
10.1109/wacv51458.2022.00269 · ExternalCitation · doi-reference
Target recognition and segmentation in turbid water using data from non-turbid conditions: a unified approach and experimental validation
10.1364/oe.524714 · ExternalCitation · doi-reference
Improved U-net-based novel segmentation algorithm for underwater mineral image
10.32604/iasc.2022.023994 · ExternalCitation · doi-reference
Polymetallic nodule resource assessment of seabed photography based on denoising diffusion probabilistic models
10.3390/jmse11081494 · ExternalCitation · doi-reference
Mask propagation for efficient video semantic segmentation
10.52202/075280-0314 · ExternalCitation · doi-reference
Vmamba: Visual state space model
10.52202/079017-3273 · ExternalCitation · doi-reference
