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Paper Citation Record · LEDGER

A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar

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.

pith.paper-citation-record.v1
2607.23770 v3

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T13:10:40.391087Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

23 of 23 outbound references displayed

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Outbound references

Observation 7a17cdd9-774e-496c-8a1d-6481437ccd53 · outbound

This paper cites Spectral Partitioning of Synthetic Aperture Sonar Imagery for Improved ATR.

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

This paper cites Additional Representations for Improving Synthetic Aperture Sonar Classification Using Convolutional Neural Networks.

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

This paper cites Structural Prior Driven Regularized Deep Learning for Sonar Image Classification.

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

This paper cites Target Detection and Segmentation in Circular-Scan Synthetic-Aperture- Sonar Images using Semi-Supervised Convolutional Encoder-Decoders.

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

This paper cites Supervised Deep Learning Classification for Multi -band Synthetic Aperture Sonar.

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

This paper cites Underwater Target Classification in Synthetic Aperture Sonar Imagery Using Deep Convolutional Neural Networks.

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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Observation 617cc592-a382-4dee-a418-073377d53087 · outbound

This paper cites On the Use of Tiny Convolutional Neural Networks for Human -Expert-Level Classification Performance in Sonar Imagery.

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

This paper cites A survey on image data augmentation for deep learning.

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

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Observation a0f39d9b-e130-43fe-82c4-4cd984341291 · outbound

This paper cites Convolutional Neural Network with Data Augmentation for SAR Target Recognition.

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

This paper cites Improving SAS Automatic Object Recognition With Sub-Aperture Imagery From Circular SAS.

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

This paper cites A Study on the Effect of Commonly Used Data Augmentation Techniques on Sonar Image Artifact Detection Using Deep Neural Network s.

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

This paper cites Mixup: Beyond Empirical Risk Minimization.

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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Observation af9a4310-e420-4e02-8ac1-b91393ebd9e2 · outbound

This paper cites ResizeMix: Mixing Data with Preserved Object Information and True Labels.

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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Observation f8134ea0-e250-4201-ad1a-584a921eb902 · outbound

This paper cites Yun et al ., “CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features, ICCV, (2019).

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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Observation a92443c2-0a41-480a-9dd8-e0b8453b0b65 · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

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

This paper cites Deep Residual Learning for Image Recognition.

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

This paper cites OpenMMLab’s Pre -training Toolbox and Benchmark.

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

This paper cites TorchVision: Pytorch computer vision library.

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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Observation 3436645b-d824-407c-b295-d5b813835a19 · outbound

This paper cites A Speckle Reduction Method Based on Coupled Partial Differential Equation for Synthetic Aperture Sonar.

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

This paper cites ImageNet: A Large-Scale Hierarchical Image Database.

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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Observation 3ece8398-0f69-45db-8484-9be53b224ff7 · outbound

This paper cites An Introduction to Information Retrieval.

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

This paper cites Decoupled Weight Decay Regularization.

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

This paper cites Focal Loss for Dense Object Detection.

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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