Paper Citation Record · LEDGER

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster

As of 22 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2411.12038.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.12038 v1

Coverage vector

measured 42 of 42 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

42 of 42 outbound references displayed

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Outbound references

Observation 940f9f82-9b03-459c-bfd6-69a9c573a2b7 · outbound

This paper cites Training deep convolutional neural networks for land-cover classification of high-resolution imagery,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Training deep convolutional neural networks for land-cover classification of high-resolution imagery,

Reference 1

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This paper cites Fusion of deep convolutional neural networks for land cover classification of high-resolution imagery,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Fusion of deep convolutional neural networks for land cover classification of high-resolution imagery,

Reference 2

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Observation 3255bd95-8744-4738-99b9-ef06f026d6ff · outbound

This paper cites Enhanced fusion of deep neural networks for classification of benchmark high-resolution image data sets,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Enhanced fusion of deep neural networks for classification of benchmark high-resolution image data sets,

Reference 3

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Observation 6867e826-04bc-4f63-b9fa-a0d9ce1ff01f · outbound

This paper cites Fuzzy choquet integration of deep convolutional neural networks for remote sensing,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Fuzzy choquet integration of deep convolutional neural networks for remote sensing,

Reference 4

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Observation 27d24a58-98e4-4609-b94c-e16c9d1086ea · outbound

This paper cites Rapid broad area search and detection of chinese surface-to-air missile sites using deep convolutional neural networks,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Rapid broad area search and detection of chinese surface-to-air missile sites using deep convolutional neural networks,

Reference 5

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Observation eedcdb79-6536-461f-8c66-53d755868a96 · outbound

This paper cites Improved search and detection of surface-to-air missile sites using spatial fusion of component object detections from deep neural networks,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Improved search and detection of surface-to-air missile sites using spatial fusion of component object detections from deep neural networks,

Reference 6

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Observation a853c97f-8ba9-415e-b72d-377ad657e20d · outbound

This paper cites Aggregating deep convolutional neural network scans of broad-area high-resolution remote sensing imagery,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Aggregating deep convolutional neural network scans of broad-area high-resolution remote sensing imagery,

Reference 7

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Observation bbf1ed73-10c0-4e5b-a785-99f44c01c67a · outbound

This paper cites A comparison of deep learning vehicle group detection in satellite imagery,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster A comparison of deep learning vehicle group detection in satellite imagery,

Reference 8

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Observation 399efbdf-bd89-484d-89af-1c2350a0f5c7 · outbound

This paper cites Maneuverability hazard detection and localization in low-altitude uas imagery,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Maneuverability hazard detection and localization in low-altitude uas imagery,

Reference 9

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Observation 0176d8cd-519c-4f84-a982-7bf4df003fc4 · outbound

This paper cites Differential morphological profile neural network for object detection in overhead imagery,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Differential morphological profile neural network for object detection in overhead imagery,

Reference 10

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Observation 3825fd9c-e2df-44c8-836b-87ca4cd217fb · outbound

This paper cites Improved classification of high resolution remote sensing imagery with differential morphological profile neural network,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Improved classification of high resolution remote sensing imagery with differential morphological profile neural network,

Reference 11

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Observation bf160fb5-4ae1-439f-94a6-854bfe14478f · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Imagenet classification with deep convolutional neural networks,

Reference 12

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Observation ac7a681b-1ada-47ea-be1c-1222392f58b0 · outbound

This paper cites Microsoft coco: Common objects in context,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Microsoft coco: Common objects in context,

Reference 13

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Observation 76a219d2-39f8-44dc-9bed-86bbe00945da · outbound

This paper cites Faster R-CNN: Towards real-time object detection with region proposal networks,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Faster R-CNN: Towards real-time object detection with region proposal networks,

Reference 14

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Observation ef332dbf-fdd1-4dcc-8d7d-3454e77d7206 · outbound

This paper cites A convnet for the 2020s,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster A convnet for the 2020s,

Reference 15

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Observation d5b35414-0800-4a48-9c77-3411736eed6e · outbound

This paper cites SSD: Single shot multibox detector,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster SSD: Single shot multibox detector,

Reference 16

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Observation c017a377-6abc-4a46-94df-deec215a4e7b · outbound

This paper cites Focal loss for dense object detection,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Focal loss for dense object detection,

Reference 17

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Observation b235505c-9f69-4efc-acbb-0fe47e18123e · outbound

This paper cites Fcos: Fully convolutional one-stage object detection,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Fcos: Fully convolutional one-stage object detection,

Reference 18

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Observation aed206a7-7df5-4bf3-b798-55931c128a2b · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster YOLOX: Exceeding YOLO Series in 2021

Reference 19

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Observation fafd139d-0670-4823-9eaf-ab6bb2d11c63 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 20

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Observation 5b5b9c17-c0a6-4f4b-baba-48970450045c · outbound

This paper cites Aggregated residual transformations for deep neural networks,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Aggregated residual transformations for deep neural networks,

Reference 21

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Observation b5534cb4-be4c-4b6a-962e-ebf2c49313ac · outbound

This paper cites Deep Residual Learning for Image Recognition.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Deep Residual Learning for Image Recognition

Reference 22

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Observation 692a763d-7d1b-4bbd-8840-6634e8a97195 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 23

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Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster End-to-end object detection with transformers,

Reference 24

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Observation 1cbcdb95-335d-4808-ae45-b29b85b5a34f · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 25

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This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 26

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This paper cites Rareplanes: Synthetic data takes flight,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Rareplanes: Synthetic data takes flight,

Reference 27

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Observation 10e43c16-c8ef-4b89-9461-244a383eb99c · outbound

This paper cites Dota: A large-scale dataset for object detection in aerial images,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Dota: A large-scale dataset for object detection in aerial images,

Reference 28

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Observation 35588b77-0069-4d37-bc65-6da1a8745bfe · outbound

This paper cites Forest burned area detection using a novel spectral index based on multi-objective optimization,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Forest burned area detection using a novel spectral index based on multi-objective optimization,

Reference 29

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Observation 0f445b60-1f0e-4f2a-8943-71248189ffee · outbound

This paper cites Landsat-8 and sentinel-2 burned area mapping-a combined sensor multi-temporal change detection approach,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Landsat-8 and sentinel-2 burned area mapping-a combined sensor multi-temporal change detection approach,

Reference 30

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Observation 61f51e8d-5e54-4ecf-b690-a54fbf3fc774 · outbound

This paper cites Deep-learning-based burned area mapping using the synergy of sentinel-1&2 data,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Deep-learning-based burned area mapping using the synergy of sentinel-1&2 data,

Reference 31

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Observation bb8c94d2-e03b-42be-bf49-23907b1abbc3 · outbound

This paper cites A deep learning approach for burned area segmentation with sentinel-2 data,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster A deep learning approach for burned area segmentation with sentinel-2 data,

Reference 32

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Observation ae62eebb-34b2-48eb-92be-12c068927325 · outbound

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Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Fully convolutional networks for semantic segmentation,

Reference 33

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Observation f4dba7c0-d1a6-4f89-8c42-acfc02191eff · outbound

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Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster U-net: Convolutional networks for biomedical image segmentation,

Reference 34

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Observation f8d02aa3-81fa-461e-9a58-b5150555ffd0 · outbound

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Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Unet++: A nested u-net architecture for medical image segmentation,

Reference 35

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Observation 9cd55453-d043-493e-8692-769ab91603b2 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 36

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Observation c5b619f2-bfd6-415c-b42d-65b05987623e · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Encoder-decoder with atrous separable convolution for semantic image segmentation,

Reference 37

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Observation da80025b-1272-483b-b301-44e22b61afef · outbound

This paper cites Change Detection of Deforestation in the Brazilian Amazon Using Landsat Data and Convolutional Neural Networks,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Change Detection of Deforestation in the Brazilian Amazon Using Landsat Data and Convolutional Neural Networks,

Reference 38

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Observation fef13ebb-da50-4776-9453-f7c4c99359bb · outbound

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Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Decoupled Weight Decay Regularization

Reference 39

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Observation 45423050-f5d6-4a09-a048-6dec84a4a3ce · outbound

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Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 40

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This paper cites A Transformer-Based Siamese Network for Change Detection,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster A Transformer-Based Siamese Network for Change Detection,

Reference 41

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Observation 8e2d329c-7401-4c95-9ae3-0aa1c278af4e · outbound

This paper cites Deforestation Detection with Fully Convolutional Networks in the Amazon Forest from Landsat-8 and Sentinel-2 Images,.

Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster Deforestation Detection with Fully Convolutional Networks in the Amazon Forest from Landsat-8 and Sentinel-2 Images,

Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.