Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:34:44.284544Z
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 100 of 181 outbound references and 1 inbound Pith citation observation for arXiv:2412.11840.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:34:44.284544Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:19:51.716495Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T15:19:52.031018Z
100 of 181 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 67d601ba-3675-47a6-a55a-28883136170e · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Multi-auv motion planning for archeological site mapping and photogrammetric reconstruction,
Reference 1
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Observation c3474ab6-34d5-4318-9387-e4389d8e4cff · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Auv ”tuna-sand
Reference 2
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Observation 02ab856e-9227-47ea-92e4-a5bd244349fe · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Multi-actuated auv body for windfarm inspection: Lessons from the bio-inspired robofish field trials,
Reference 3
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Observation 1817e456-5a74-4ae4-bb90-2345c2dc1266 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges The hugin 1000 autonomous underwater vehicle for military applications,
Reference 4
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Observation 04f44068-5c04-4e88-9331-37bf473ebe58 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Swdd: Sonar wall detection dataset,
Reference 5
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Observation 16e0cb0d-ff9c-458d-9455-6358fdf8ba88 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Data augmentation using image translation for underwater sonar image segmentation,
Reference 6
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Observation e9f8c55f-ad65-4a77-9973-c02a36a799b6 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Recent advances in ai for navigation and control of underwater robots,
Reference 7
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Observation 290bc9a9-2864-44a4-8787-6a36da2f4a1f · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Autonomous object identification in mine countermeasure missions,
Reference 8
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Observation aec57c8f-8051-4f55-9c1e-142953bcaf35 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Archaeo- logic machine learning for shipwreck detection using lidar and sonar,
Reference 9
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Observation f3e5fa3f-ee12-4f6e-a591-e779b72baa74 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Lsts toolchain framework for deep learning implementation into autonomous underwater vehicle,
Reference 10
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Observation 59978f9b-d8ec-4999-ac89-e213187cc8b2 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Mission planning and safety assessment for pipeline inspection using autonomous underwater vehicles: A framework based on behavior trees,
Reference 11
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Observation ab96d3af-4b0b-4d3e-995a-663b87dbbdcf · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities
Reference 12
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Observation a533081b-c0dd-429d-b208-ce2184e40d82 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Safe ai for cps (invited paper),
Reference 13
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Observation 3c5acd0d-f2db-4f3d-8b84-34f691948c94 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Opening the Black Box of Deep Neural Networks via Information
Reference 14
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Observation e424f8e8-86df-4782-b0c0-07158a5a2528 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Ai challenges for society and ethics,
Reference 15
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Observation c36954fe-e6c0-4d26-801a-03b798a2ee63 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Explainable AI: current status and future directions
Reference 16
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Observation 53acb87c-c3a8-49c3-9797-bf5d78f7a7e1 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Rethinking explainable machines: The gdprs “right to explanation
Reference 17
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Observation 8790f3e7-975b-41cd-bd0d-5cd0f31dee2d · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Explaining Explanations: An Overview of Interpretability of Machine Learning
Reference 18
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Observation b0a2b1af-3691-4932-9920-9e5344feee8b · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges An introduction to underwater acoustics: Principles and applications,
Reference 19
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Observation 4fe17820-5a25-40ed-8afe-61a949b1f2c1 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges A review on deep learning-based approaches for automatic sonar target recognition,
Reference 20
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Observation df4fe637-451b-4127-8474-2aa9f839b42c · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Survey on deep learning based computer vision for sonar imagery,
Reference 21
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Observation b7ec1bc1-182d-4cff-8835-d4b922b8065f · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Underwater target detection using deep learning: Methodologies, challenges, applications, and future evolution,
Reference 22
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Observation ecae6357-b815-457a-9f9e-d8d129c996c2 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Underwater target recognition methods based on the framework of deep learning: A survey,
Reference 23
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Observation 6b13fe5e-e7ff-46a2-ad46-3739510fd089 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges A review on the wavelet methods for sonar image segmentation,
Reference 24
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Observation d9996ade-2842-43f9-b1e4-e14319c5cf76 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Acoustic fish species identification using deep learning and machine learning algorithms: A systematic review,
Reference 25
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Observation 0fccc934-e3c2-4b49-92e0-097a555bad3e · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Deep learning algorithms for sonar imagery analysis and its application in aquaculture: A review,
Reference 26
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Observation e2169fa4-ff65-4695-87e5-88070afcc1da · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges A survey of underwater acoustic data classification methods using deep learning for shoreline surveillance,
Reference 27
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Observation 67f4dc3d-1db4-413f-b2db-92c8171ad0f0 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Imagenet classification with deep convolutional neural networks,
Reference 28
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Observation e2687011-a249-4c5a-85e9-1a761bc709ee · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Gradient-based learning applied to document recognition,
Reference 29
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Observation a93da3b0-1f32-4bc1-9e94-fbaf9087a775 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Deep residual learning for image recognition,
Reference 30
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Observation 4dae8f7c-2b34-4574-b866-59b4d24d61a1 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Rich feature hierarchies for accurate object detection and semantic segmentation,
Reference 31
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Observation b5d8dd92-5da4-4be0-b60b-bbf25243190e · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Fast r-cnn,
Reference 32
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Observation 9e97d231-e839-4e8f-882c-feb5ba056bbd · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Reference 33
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Observation 372d5509-7464-4888-b0c9-178cfdb73bed · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges You Only Look Once: Unified, Real-Time Object Detection
Reference 34
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Observation 5384d575-aa58-4611-8667-ee4e8821ef7b · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Ssd: Single shot multibox detector,
Reference 35
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Observation 56c981dc-45f8-4989-9644-fdd691787477 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Attention Is All You Need
Reference 36
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Observation c4303bb9-9751-46de-b9fa-0cf91683c30c · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Serial order: A parallel distributed processing approach,
Reference 37
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Observation 6b1b3ff1-b2b4-40d0-8add-3c61a54293ee · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Long short-term memory,
Reference 38
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Observation ee6d7217-eb11-4621-b802-6529dc4d5249 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges End-to-End Object Detection with Transformers
Reference 39
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Observation 1db351aa-5f58-43ac-985f-1334f99d781c · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 40
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Observation fde8a849-a2c0-4192-8f4c-7ed542d0f9b0 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Rotated object detection with forward-looking sonar in underwater applications,
Reference 41
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Observation 8f9dba5e-8ca4-4c97-b57a-a2aa2442ae65 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Real-time underwater maritime object detection in side-scan sonar images based on transformer-yolov5,
Reference 42
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Observation 9d5d3b9c-651f-4c3f-a985-191e44302804 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Real-time automatic wall detection and localization based on side scan sonar images,
Reference 43
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Observation 26c5c0cb-3ae9-4aff-8b41-04d1d5f05ae4 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges YOLOX: Exceeding YOLO Series in 2021
Reference 44
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Observation 0c74716d-fb6d-4abe-b666-6741cc89ee53 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Knowledge Distillation in YOLOX-ViT for Side-Scan Sonar Object Detection
Reference 45
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Observation 68736a6e-ca8d-4f6b-a7e2-f14d36a90a82 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Fully convolutional networks for semantic segmentation,
Reference 46
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Observation e26f3397-9a2e-4c7c-b7c9-8d063cdb48fb · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges U-net: Convolutional net- works for biomedical image segmentation,
Reference 47
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Observation 13c03d4d-6969-4da7-9759-6f6eb0d9fc20 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,
Reference 48
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Observation ff07317d-ff02-4e8f-baf6-4824f636d5db · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Pyramid scene parsing network,
Reference 49
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Observation ae3c0055-9c79-40eb-96e9-d36677d57cde · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges A submarine pipeline segmentation method for noisy forward-looking sonar images using global information and coarse segmentation,
Reference 50
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Observation 633f5b84-73c9-4d79-afbe-35d33fa11837 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Side-scan sonar images segmentation for auv with recurrent residual convolutional neural network module and self-guidance module,
Reference 51
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Observation abf5f769-1d97-413c-b8f4-415d1e26e238 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Attention u-net: Learning where to look for the pancreas,
Reference 52
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Observation bbf795bc-ecfc-49e0-a221-b0b82762fa64 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Rethinking semantic segmenta- tion from a sequence-to-sequence perspective with transformers,
Reference 53
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Observation 67afdd9a-38dd-4c68-a01d-1d7f0b9d0454 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Segmenter: Trans- former for semantic segmentation,
Reference 54
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Observation 4b8a5cd4-b8bc-4ca4-b1dc-4a3118fc5ad7 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Mitu-net: An efficient mix transformer u-like network for forward-looking sonar image segmentation,
Reference 55
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Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Sonarnet: Hybrid cnn-transformer- hog framework and multifeature fusion mechanism for forward-looking sonar image segmentation,
Reference 56
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Observation 2d33b2ed-38df-4824-a456-c4efbd263320 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Subpipe: A submarine pipeline inspection dataset for segmentation and visual-inertial localization,
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Observation 7fe929f7-2141-4278-bcc4-1a759886b6a1 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Semantic segmentation of underwater imagery: Dataset and benchmark,
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Observation fd3dd054-4b0a-4d6b-87e0-80903dee66fb · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Simultaneous map building and localization for an autonomous mobile robot,
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Observation 17dba3c8-2df8-456a-b794-fe914c20f2ef · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges A new approach to linear filtering and prediction problems,
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Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges A tutorial on graph-based slam,
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Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Feature-based under- water localization using imaging sonar in confined environments,
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Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges A fully-automatic side-scan sonar simultaneous localization and mapping framework,
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Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Toward Geometric Deep SLAM
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Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Review of underwater slam techniques,
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Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Visual slam for underwater vehicles: A survey,
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Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Svin2: A multi-sensor fusion-based underwater slam system,
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Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Svin2: An underwater slam system using sonar, visual, inertial, and depth sensor,
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Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Adaptive tuning of a kalman filter via fuzzy logic for an intelligent auv navigation system,
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Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges A dense subframe-based slam framework with side-scan sonar,
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Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Savor: Sonar-aided visual odometry and reconstruction for autonomous underwater vehicles,
Reference 71
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Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges An overview of key slam technologies for underwater scenes,
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Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Autonomous underwater vehicle navigation using sonar image matching based on convolutional neural network,
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Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Diverse ocean noise classifi- cation using deep learning,
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Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges A dataset with multibeam forward- looking sonar for underwater object detection,
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Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges An adaptive denoising and detection approach for underwater sonar image,
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Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Sonar image denoising based on anisotropic guided filtering,
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Observation b801ea5e-a3a5-41ab-b5a8-b79684069636 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Deep denoising method for side scan sonar images without high-quality reference data,
Reference 78
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Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Remove and recover: two stage convolutional autoencoder based sonar image enhancement algorithm,
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Observation 24c57384-50b5-4b2e-8c4a-b676019b3e1b · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Research on a feature enhancement extraction method for underwater targets based on deep autoencoder networks,
Reference 80
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Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Connectionist Bench (Sonar, Mines vs. Rocks),
Reference 81
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Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Side-scan sonar and wa- ter profiler data from Lago Grey,
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Observation 33f4141a-056b-4371-b52e-ccb85c54e5e5 · outbound
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Underwater ice terrace observed at the front of glaciar grey, a freshwater calving glacier in patagonia,
Reference 83
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Reference 100
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Reference 28
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