Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-30T13:10:40.391087Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.23770.
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 2026-07-30T13:10:40.391087Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
23 of 23 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7a17cdd9-774e-496c-8a1d-6481437ccd53 · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar Spectral Partitioning of Synthetic Aperture Sonar Imagery for Improved ATR
Reference 1
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Observation d044175e-9417-432d-a7bb-6bf5ecc5c9bd · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar Additional Representations for Improving Synthetic Aperture Sonar Classification Using Convolutional Neural Networks
Reference 2
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Observation 6e6f09dd-fec9-4045-b089-4770cfba1595 · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar Structural Prior Driven Regularized Deep Learning for Sonar Image Classification
Reference 3
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Observation 6acb111f-543e-44f8-ba92-9c54ec0ffc53 · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar Target Detection and Segmentation in Circular-Scan Synthetic-Aperture- Sonar Images using Semi-Supervised Convolutional Encoder-Decoders
Reference 4
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Observation fc9e0adb-c52c-406d-ab1a-d0c540d35829 · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar Supervised Deep Learning Classification for Multi -band Synthetic Aperture Sonar
Reference 5
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Observation 921219bd-bd22-4c22-b76c-81f883d3db3b · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar Underwater Target Classification in Synthetic Aperture Sonar Imagery Using Deep Convolutional Neural Networks
Reference 6
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Unavailable: canonical work link unavailable.
Observation 617cc592-a382-4dee-a418-073377d53087 · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar On the Use of Tiny Convolutional Neural Networks for Human -Expert-Level Classification Performance in Sonar Imagery
Reference 7
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Observation 2e47ce13-f00f-42a7-a680-081fd126016a · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar A survey on image data augmentation for deep learning
Reference 8
Source-reported events for the cited work
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Observation a0f39d9b-e130-43fe-82c4-4cd984341291 · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar Convolutional Neural Network with Data Augmentation for SAR Target Recognition
Reference 9
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Observation 0171baad-115f-4770-84e3-95cf22eb570c · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar Improving SAS Automatic Object Recognition With Sub-Aperture Imagery From Circular SAS
Reference 10
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Observation b2282cbb-0ac9-4601-ad4c-810ff82f7a5d · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar A Study on the Effect of Commonly Used Data Augmentation Techniques on Sonar Image Artifact Detection Using Deep Neural Network s
Reference 11
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Observation 1f5b7e3f-e353-4326-8f73-515774c9d7da · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar Mixup: Beyond Empirical Risk Minimization
Reference 12
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Unavailable: canonical work link unavailable.
Observation af9a4310-e420-4e02-8ac1-b91393ebd9e2 · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar ResizeMix: Mixing Data with Preserved Object Information and True Labels
Reference 13
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Unavailable: canonical work link unavailable.
Observation f8134ea0-e250-4201-ad1a-584a921eb902 · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar Yun et al ., “CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features, ICCV, (2019)
Reference 14
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Unavailable: canonical work link unavailable.
Observation a92443c2-0a41-480a-9dd8-e0b8453b0b65 · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Reference 15
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Observation 9b67a654-7834-45bd-b1b9-bf6f9951d64b · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar Deep Residual Learning for Image Recognition
Reference 16
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Observation 101c6a1a-bf99-408a-800c-62a3603b7976 · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar OpenMMLab’s Pre -training Toolbox and Benchmark
Reference 17
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Observation b3b47fd6-8540-40eb-9895-9e9040051cbc · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar TorchVision: Pytorch computer vision library
Reference 18
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Unavailable: canonical work link unavailable.
Observation 3436645b-d824-407c-b295-d5b813835a19 · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar A Speckle Reduction Method Based on Coupled Partial Differential Equation for Synthetic Aperture Sonar
Reference 19
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Observation 4173b92c-46dd-4275-8d8a-7f75f29f3b55 · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar ImageNet: A Large-Scale Hierarchical Image Database
Reference 20
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Unavailable: canonical work link unavailable.
Observation 3ece8398-0f69-45db-8484-9be53b224ff7 · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar An Introduction to Information Retrieval
Reference 21
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Observation ddb3f910-946b-46f7-ba2f-a29d5457a22d · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar Decoupled Weight Decay Regularization
Reference 22
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Observation f262cdc8-0741-487d-b5fa-3c8c2424b502 · outbound
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar Focal Loss for Dense Object Detection
Reference 23
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No inbound Pith citation observations are available.