Abstract
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Zixiang Dai, Yugang Ren, Limin Zhu, Lei Jia
Abstract
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Dual correlation network for efficient video semantic segmentation
10.1109/tcsvt.2023.3298644 · 2023
Contemporary technological progress in deep-sea mining
2024
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Semi-supervised learning network for deep-sea nodule mineral image segmentation
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openalex
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datacite
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Lightweight and real-time semantic segmentation of UAV traffic videos based on siamese network for keyframe recognition
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An interpretable multi-model machine learning approach for spatial mapping of deep-sea polymetallic nodule occurrences
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Mask propagation for efficient video semantic segmentation
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Improved U-net-based novel segmentation algorithm for underwater mineral image
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Learning local and global temporal contexts for video semantic segmentation
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An improved u-net convolutional networks for seabed mineral image segmentation
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10.1109/iccv.2017.74
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Survey on fast dense video segmentation techniques
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10.1109/cvpr.2017.224
10.1109/cvpr.2017.224 · doi-reference
Breaking the ice: Video segmentation for close-range ice-covered waters
10.1016/j.oceaneng.2025.122105 · 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 · doi-reference
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10.52202/079017-3273 · 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 · doi-reference
10.1109/cvpr52688.2022.00142
10.1109/cvpr52688.2022.00142 · doi-reference
Learning effective feature representation for video object segmentation via memory
10.1016/j.knosys.2024.112020 · doi-reference
10.1109/cvpr.2018.00628
10.1109/cvpr.2018.00628 · doi-reference
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10.1109/cvpr52734.2025.02255
10.1109/cvpr52734.2025.02255 · doi-reference
Image segmentation and coverage estimation of deep-sea polymetallic nodules based on lightweight deep learning model
10.1038/s41598-025-89952-8 · doi-reference
An interpretable multi-model machine learning approach for spatial mapping of deep-sea polymetallic nodule occurrences
10.1007/s11053-024-10393-7 · 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 · doi-reference
Advancing underwater vision: a survey of deep learning models for underwater object recognition and tracking
10.1109/access.2025.3534098 · doi-reference
Semi-supervised learning network for deep-sea nodule mineral image segmentation
10.1016/j.apor.2024.104356 · doi-reference
10.1109/iccv51701.2025.01984
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