Paper Citation Record · LEDGER

Learning Cross-Spectral Point Features with Task-Oriented Training

As of 21 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2505.12593.

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

pith.paper-citation-record.v1
2505.12593 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:35:27.387305Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

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External citation measurements

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Outbound references

Observation 9710b244-b374-468a-9e7a-b3376f9e222d · outbound

This paper cites A review on absolute visual localization for UA V,.

Learning Cross-Spectral Point Features with Task-Oriented Training A review on absolute visual localization for UA V,

Reference 1

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Observation 358189f9-912c-4549-a392-a925ae2721af · outbound

This paper cites [Online].

Learning Cross-Spectral Point Features with Task-Oriented Training [Online]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:27.984888Z

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Observation 50f078f8-3852-4a2a-8c79-747e1d99e076 · outbound

This paper cites SuperPoint: Self- Supervised Interest Point Detection and Description,.

Learning Cross-Spectral Point Features with Task-Oriented Training SuperPoint: Self- Supervised Interest Point Detection and Description,

Reference 3

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Observation baf4ca7e-e140-4b6b-aa4e-a5cfdc799888 · outbound

This paper cites D2-Net: A Trainable CNN for Joint Description and Detection of Local Features,.

Learning Cross-Spectral Point Features with Task-Oriented Training D2-Net: A Trainable CNN for Joint Description and Detection of Local Features,

Reference 4

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Observation 91b1d133-2e33-4fcf-bd64-e1c07da19188 · outbound

This paper cites R2D2: Reliable and Repeatable Detector and Descriptor,.

Learning Cross-Spectral Point Features with Task-Oriented Training R2D2: Reliable and Repeatable Detector and Descriptor,

Reference 5

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Observation 4f7fc037-b97c-4a6f-9647-269003ffaed6 · outbound

This paper cites MultiPoint: Cross-spectral registration of ther- mal and optical aerial imagery,.

Learning Cross-Spectral Point Features with Task-Oriented Training MultiPoint: Cross-spectral registration of ther- mal and optical aerial imagery,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:27.922334Z

Source-reported events for the cited work

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Observation 6c78a6c5-393b-49f1-93e7-bbd206115159 · outbound

This paper cites ReDFeat: Recoupling Detection and Descrip- tion for Multimodal Feature Learning,.

Learning Cross-Spectral Point Features with Task-Oriented Training ReDFeat: Recoupling Detection and Descrip- tion for Multimodal Feature Learning,

Reference 7

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Observation ab8ee609-d3cd-437c-a5fa-cb1905fe2116 · outbound

This paper cites Distinctive Image Features from Scale-Invariant Keypoints,.

Learning Cross-Spectral Point Features with Task-Oriented Training Distinctive Image Features from Scale-Invariant Keypoints,

Reference 8

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Observation 1d19708e-a183-4f41-920e-0f49b30502dc · outbound

This paper cites ORB: An efficient alternative to SIFT or SURF,.

Learning Cross-Spectral Point Features with Task-Oriented Training ORB: An efficient alternative to SIFT or SURF,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:27.877101Z

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

Observation 78da4b66-0204-4db1-9375-d33e061560cc · outbound

This paper cites A comparison of image features for registering LWIR and visual images,.

Learning Cross-Spectral Point Features with Task-Oriented Training A comparison of image features for registering LWIR and visual images,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:27.861725Z

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.

Observation 73c8a060-6edc-4779-b6fb-e7f2eae1a035 · outbound

This paper cites Statistics of Infrared Images,.

Learning Cross-Spectral Point Features with Task-Oriented Training Statistics of Infrared Images,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:27.846366Z

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.

Observation 0e6e1269-c0c4-402c-ba9f-b4e772db1462 · outbound

This paper cites Multispectral Image Feature Points,.

Learning Cross-Spectral Point Features with Task-Oriented Training Multispectral Image Feature Points,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:27.831608Z

Source-reported events for the cited work

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Observation 71d30afb-2378-4d39-b73d-3d323b8214e2 · outbound

This paper cites A Computational Approach to Edge Detection,.

Learning Cross-Spectral Point Features with Task-Oriented Training A Computational Approach to Edge Detection,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:27.814031Z

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.

Observation a822b541-374e-4b59-83fb-32623364d840 · outbound

This paper cites A Local Feature Descriptor Based on Log-Gabor Filters for Keypoint Matching in Multispectral Images,.

Learning Cross-Spectral Point Features with Task-Oriented Training A Local Feature Descriptor Based on Log-Gabor Filters for Keypoint Matching in Multispectral Images,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:27.798423Z

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

Observation 69c0f6b9-f671-4551-a360-87539a5349dd · outbound

This paper cites LGHD: A feature descriptor for matching across non-linear intensity variations,.

Learning Cross-Spectral Point Features with Task-Oriented Training LGHD: A feature descriptor for matching across non-linear intensity variations,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:27.781824Z

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Observation 52c07a8d-aa16-4148-846e-a8318b32ab28 · outbound

This paper cites RIFT: Multi-Modal Image Matching Based on Radiation-Variation Insensitive Feature Transform,.

Learning Cross-Spectral Point Features with Task-Oriented Training RIFT: Multi-Modal Image Matching Based on Radiation-Variation Insensitive Feature Transform,

Reference 16

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Observation b2318acf-76cf-4ec5-aec9-60a3b8430827 · outbound

This paper cites Cross- Spectral Local Descriptors via Quadruplet Network,.

Learning Cross-Spectral Point Features with Task-Oriented Training Cross- Spectral Local Descriptors via Quadruplet Network,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:27.747765Z

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Observation 4254c680-0d49-4271-ac0d-f9ac7665f45c · outbound

This paper cites Learning to Find Unpaired Cross-Spectral Correspondences,.

Learning Cross-Spectral Point Features with Task-Oriented Training Learning to Find Unpaired Cross-Spectral Correspondences,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:27.731360Z

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Observation 1f5c8f5b-c9fb-420b-b199-2093912660e2 · outbound

This paper cites Infrared- to-Optical Image Translation for Keypoint-Based Image Regis- tration,.

Learning Cross-Spectral Point Features with Task-Oriented Training Infrared- to-Optical Image Translation for Keypoint-Based Image Regis- tration,

Reference 19

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Observation 75b60af5-1381-4cd4-9091-6f7e027419e5 · outbound

This paper cites Swin Transformer based Siamese Network for Thermal and Optical Image Registration,.

Learning Cross-Spectral Point Features with Task-Oriented Training Swin Transformer based Siamese Network for Thermal and Optical Image Registration,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:27.698486Z

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

Observation 8d9a268a-2887-4333-b0ad-a3195939a1dd · outbound

This paper cites an unresolved cited work.

Learning Cross-Spectral Point Features with Task-Oriented Training Unresolved cited work

Reference 21

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

Observation 651a70a5-ca1c-4280-8602-a546b6590ee3 · outbound

This paper cites Keeping an Eye on Things: Deep Learned Features for Long-Term Visual Localization,.

Learning Cross-Spectral Point Features with Task-Oriented Training Keeping an Eye on Things: Deep Learned Features for Long-Term Visual Localization,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:27.681170Z

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Observation 70d39d59-845a-4f68-a801-1d5086bee261 · outbound

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

Learning Cross-Spectral Point Features with Task-Oriented Training Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 23

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Source-reported events for the cited work

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Observation 3de3dc7c-a1db-4102-b896-3bb51f01c3c8 · outbound

This paper cites Understanding the Limitations of CNN-Based Absolute Camera Pose Regression,.

Learning Cross-Spectral Point Features with Task-Oriented Training Understanding the Limitations of CNN-Based Absolute Camera Pose Regression,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:27.664376Z

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Observation 831f2abd-87e0-4cde-933c-0134b2255675 · outbound

This paper cites Techniques for nonlinear least squares and robust regression,.

Learning Cross-Spectral Point Features with Task-Oriented Training Techniques for nonlinear least squares and robust regression,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:27.646346Z

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.

Observation f0d5278a-e7d4-4e20-821c-6f1b5a3b55c2 · outbound

This paper cites A General and Adaptive Robust Loss Function,.

Learning Cross-Spectral Point Features with Task-Oriented Training A General and Adaptive Robust Loss Function,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:27.630351Z

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.

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This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library,.

Learning Cross-Spectral Point Features with Task-Oriented Training PyTorch: An Imperative Style, High-Performance Deep Learning Library,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:27.613615Z

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

Observation 9df11a85-5300-4e05-bdf6-7844ce6dbfe0 · outbound

This paper cites Adam: A Method for Stochastic Optimiza- tion,.

Learning Cross-Spectral Point Features with Task-Oriented Training Adam: A Method for Stochastic Optimiza- tion,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:27.596661Z

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.