Paper Citation Record · LEDGER

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization

As of 15 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2412.14819.

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

pith.paper-citation-record.v1
2412.14819 v4

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:56:05.842585Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:54:33.682180Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T14:54:34.067914Z

Reference resolution

50 of 50 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1d52d9e6-6408-4216-8607-27f9aa0cc95b · outbound

This paper cites University-1652: A multi-view multi- source benchmark for drone-based geo-localization,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization University-1652: A multi-view multi- source benchmark for drone-based geo-localization,

Reference 1

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Observation 419936a2-0bd0-4771-a954-38eb47b598b4 · outbound

This paper cites Accurate object localization in remote sensing images based on convolutional neural networks,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Accurate object localization in remote sensing images based on convolutional neural networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:07.211070Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0038d073-f6ee-4153-a9c5-12b297762ada · outbound

This paper cites Investigating the role of image retrieval for visual localization,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Investigating the role of image retrieval for visual localization,

Reference 3

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Observation b811aaf6-433c-4ba9-a91c-74aba677014a · outbound

This paper cites Cross-view geo- localization via learning disentangled geometric layout correspondence,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Cross-view geo- localization via learning disentangled geometric layout correspondence,

Reference 4

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Observation 871255d5-ebc0-48cc-9219-de87ed04f67f · outbound

This paper cites Sample4Geo: Hard negative sampling for cross-view geo-localisation,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Sample4Geo: Hard negative sampling for cross-view geo-localisation,

Reference 5

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Source-reported events for the cited work

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Observation f23ebc0e-1e8d-4828-ab45-bafa3f8d18ca · outbound

This paper cites GeoDTR+: Toward generic cross-view geolocalization via geometric disentangle- ment,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization GeoDTR+: Toward generic cross-view geolocalization via geometric disentangle- ment,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:07.109665Z

Source-reported events for the cited work

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Observation bd9eb2e4-ee56-46c4-acc9-7d243869f24f · outbound

This paper cites Fdgnet: Frequency disentanglement and data geometry for domain generalization in cross- scene hyperspectral image classification,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Fdgnet: Frequency disentanglement and data geometry for domain generalization in cross- scene hyperspectral image classification,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:07.084962Z

Source-reported events for the cited work

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Observation 007f0c71-03d7-4bb2-9b53-e9f8eebf8386 · outbound

This paper cites Cross-domain few-shot learning based on feature disentanglement for hyperspectral image classification,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Cross-domain few-shot learning based on feature disentanglement for hyperspectral image classification,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:07.068099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3bb25eb1-6c97-4ac0-816e-25a49a94727d · outbound

This paper cites Cross- domain few-shot learning based on decoupled knowledge distillation for hyperspectral image classification,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Cross- domain few-shot learning based on decoupled knowledge distillation for hyperspectral image classification,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:07.045878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c4c96fe7-c8f0-49d1-8bb4-1265b16a87f4 · outbound

This paper cites MCCG: A convnext- based multiple-classifier method for cross-view geo-localization,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization MCCG: A convnext- based multiple-classifier method for cross-view geo-localization,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 55208454-5bcd-4cb3-86d6-e8c3260cc811 · outbound

This paper cites Multibranch joint representation learning based on information fusion strategy for cross-view geo-localization,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Multibranch joint representation learning based on information fusion strategy for cross-view geo-localization,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.987910Z

Source-reported events for the cited work

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Observation ef60092d-1a97-4c1c-a927-be1c6a2e2e19 · outbound

This paper cites SDPL: Shifting-dense partition learning for UA V-view geo- localization,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization SDPL: Shifting-dense partition learning for UA V-view geo- localization,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.963946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 71152062-4bd5-46b5-abab-c187ef6296f1 · outbound

This paper cites TransFG: A cross- view geo-localization of satellite and UA Vs imagery pipeline using transformer-based feature aggregation and gradient guidance,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization TransFG: A cross- view geo-localization of satellite and UA Vs imagery pipeline using transformer-based feature aggregation and gradient guidance,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.940715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8bc157a5-5779-44eb-9e09-359679714f48 · outbound

This paper cites A practical cross-view image matching method between UA V and satellite for UA V-based geo- localization,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization A practical cross-view image matching method between UA V and satellite for UA V-based geo- localization,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.900071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dfd41861-1c40-4f07-aa90-7d37d0ef7012 · outbound

This paper cites Joint representation learning and keypoint detection for cross-view geo-localization,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Joint representation learning and keypoint detection for cross-view geo-localization,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.876409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 80db3b9b-d260-45bd-a1ad-81c28c26c473 · outbound

This paper cites Each part matters: Local patterns facilitate cross-view geo-localization,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Each part matters: Local patterns facilitate cross-view geo-localization,

Reference 16

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Source-reported events for the cited work

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Observation aae3067f-7ffb-48e3-9ed3-feba649b7875 · outbound

This paper cites Beyond geo-localization: Fine-grained orientation of street-view images by cross-view matching with satellite imagery,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Beyond geo-localization: Fine-grained orientation of street-view images by cross-view matching with satellite imagery,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.837657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dc918032-25fe-4873-8b54-bdfc11c1872a · outbound

This paper cites Cross-view geo-localization with layer-to- layer transformer,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Cross-view geo-localization with layer-to- layer transformer,

Reference 18

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Source-reported events for the cited work

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Observation c6831af4-3262-4005-8305-28ad95e55041 · outbound

This paper cites TransGeo: Transformer is all you need for cross-view image geo-localization,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization TransGeo: Transformer is all you need for cross-view image geo-localization,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.804495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9db85df6-a6b1-4e0b-8cab-68e606a8f6d2 · outbound

This paper cites Multilevel feedback joint representation learning network based on adaptive area elimination for cross-view geo-localization,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Multilevel feedback joint representation learning network based on adaptive area elimination for cross-view geo-localization,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.782641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9010376e-4e3f-4056-80d6-aef75a1f0a76 · outbound

This paper cites A survey on the convergence of edge computing and AI for UA Vs: Opportunities and challenges,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization A survey on the convergence of edge computing and AI for UA Vs: Opportunities and challenges,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.763016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eb627c16-a5e5-496e-9695-b7db95b1d4d5 · outbound

This paper cites Enhancing cross-view geo-localization with domain alignment and scene consistency,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Enhancing cross-view geo-localization with domain alignment and scene consistency,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.743398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f61e70dd-300f-40ff-9dae-61ed581fd1c4 · outbound

This paper cites Optimal feature transport for cross-view image geo-localization,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Optimal feature transport for cross-view image geo-localization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.722885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bfe22578-1feb-47dc-9fe8-6b39f5122457 · outbound

This paper cites F3-Net: Multiview scene matching for drone-based geo-localization,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization F3-Net: Multiview scene matching for drone-based geo-localization,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.697905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d07a0b7f-4688-4138-85c3-68a6ab09189e · outbound

This paper cites A transformer-based fea- ture segmentation and region alignment method for UA V-view geo- localization,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization A transformer-based fea- ture segmentation and region alignment method for UA V-view geo- localization,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.673351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a324cafb-277d-47cf-83d3-fe62d8abe212 · outbound

This paper cites UA V-satellite view syn- thesis for cross-view geo-localization,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization UA V-satellite view syn- thesis for cross-view geo-localization,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.653249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bcfc7239-5d93-4cb9-93f4-0166e82127a3 · outbound

This paper cites Lending orientation to neural networks for cross- view geo-localization,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Lending orientation to neural networks for cross- view geo-localization,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.633384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9aebb2b8-588e-4e38-bce4-5375d03e4a13 · outbound

This paper cites Cross-modality image matching network with modality-invariant feature representation for airborne-ground thermal infrared and visible datasets,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Cross-modality image matching network with modality-invariant feature representation for airborne-ground thermal infrared and visible datasets,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.604702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 67b0966f-7198-4206-8f6d-3e2e6d72b938 · outbound

This paper cites A convnet for the 2020s,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization A convnet for the 2020s,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.577643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 08dbb3cc-065c-46e7-8fb4-283d6cc7ef51 · outbound

This paper cites Cross-view image geolocalization,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Cross-view image geolocalization,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.549009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 14227ecd-6d83-4e2d-a988-7d6fea37cf5e · outbound

This paper cites A framework for global vehicle localization using stereo images and satellite and road maps,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization A framework for global vehicle localization using stereo images and satellite and road maps,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.523302Z

Source-reported events for the cited work

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Observation b03e4869-7706-40f3-a375-ef11c18df43e · outbound

This paper cites Ground-to-aerial image geo-localization with a hard exemplar reweighting triplet loss,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Ground-to-aerial image geo-localization with a hard exemplar reweighting triplet loss,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.496304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6d0e9160-7a71-413c-b6b6-363e26493b47 · outbound

This paper cites Where am i looking at? joint location and orientation estimation by cross-view matching,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Where am i looking at? joint location and orientation estimation by cross-view matching,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.465160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9354fb30-ee2f-4eb5-bfe4-b91fea920393 · outbound

This paper cites Coming down to earth: Satellite-to-street view synthesis for geo-localization,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Coming down to earth: Satellite-to-street view synthesis for geo-localization,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.443166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 78253735-deca-45ec-a0d9-0dfe66030cd3 · outbound

This paper cites Sat2density: Faithful density learning from satellite-ground image pairs,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Sat2density: Faithful density learning from satellite-ground image pairs,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.422750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ec70f0e2-0ce3-429a-99ca-6310ded35d4c · outbound

This paper cites Predicting ground- level scene layout from aerial imagery,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Predicting ground- level scene layout from aerial imagery,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.397187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 159e76a1-66a4-4db9-8e09-1605726fb8e4 · outbound

This paper cites Lending orientation to neural networks for cross- view geo-localization,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Lending orientation to neural networks for cross- view geo-localization,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.366977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2710fc00-a075-4738-9269-9caa1a6798f5 · outbound

This paper cites On the location dependence of convolu- tional neural network features,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization On the location dependence of convolu- tional neural network features,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.341776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cba90642-7de0-490f-81ce-98ccc9b5d4ed · outbound

This paper cites Netvlad: Cnn architecture for weakly supervised place recognition,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Netvlad: Cnn architecture for weakly supervised place recognition,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.309661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6dce5ca6-f4b4-49dd-ad4b-1b9a3d84a777 · outbound

This paper cites Multiple- environment self-adaptive network for aerial-view geo-localization,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Multiple- environment self-adaptive network for aerial-view geo-localization,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T11:56:05.762767Z

Source-reported events for the cited work

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Observation b75d6729-56c5-46c8-9aee-050b47e42220 · outbound

This paper cites SUES-200: A multi-height multi-scene cross-view image benchmark across drone and satellite,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization SUES-200: A multi-height multi-scene cross-view image benchmark across drone and satellite,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.261192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7fb40b12-d338-4d47-be11-f3ae25940b8a · outbound

This paper cites Direction-guided multi-scale feature fusion network for geo- localization,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Direction-guided multi-scale feature fusion network for geo- localization,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.223796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4e23f433-57e7-4f5c-bb2d-32a13c9fcc10 · outbound

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

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.184938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ddde0b5d-e79f-462f-8caa-32b17189f4cb · outbound

This paper cites CCR: A counterfactual causal reasoning- based method for cross-view geo-localization,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization CCR: A counterfactual causal reasoning- based method for cross-view geo-localization,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.158355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e8147a2b-1503-4abd-9f4d-64c0b5e434bc · outbound

This paper cites CAMP: Across-view geo-localization method using contrastive attributes mining and position-aware partitioning,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization CAMP: Across-view geo-localization method using contrastive attributes mining and position-aware partitioning,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.109106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8867f91f-85f0-4668-8bc5-e2b72a536330 · outbound

This paper cites Accurate 3-DoF camera geo-localization via ground-to-satellite image match- ing,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Accurate 3-DoF camera geo-localization via ground-to-satellite image match- ing,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.080484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dcc46015-c5cc-4833-8eaa-4909f401721f · outbound

This paper cites SMDT: Cross- view geo-localization with image alignment and transformer,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization SMDT: Cross- view geo-localization with image alignment and transformer,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.045881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1c184521-a8d1-4a57-a377-a543246759f9 · outbound

This paper cites Aligning geometric spatial layout in cross- view geo-localization via feature recombination,.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Aligning geometric spatial layout in cross- view geo-localization via feature recombination,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:06.007036Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a3364685-ca5f-4d43-b965-eb0ab7c4bff6 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Representation Learning with Contrastive Predictive Coding

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T11:56:05.835468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53adfd63-23d1-492d-8b8a-a3b44a9ddc9f · outbound

This paper cites Visualizing data using t-SNE.

Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization Visualizing data using t-SNE

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:05.975218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation f7022d41-b9a6-4dee-81bb-100926247258 · inbound

Scale-adaptive UAV Geo-localization via Height-aware Partition Learning cites this paper.

Scale-adaptive UAV Geo-localization via Height-aware Partition Learning Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-11T14:54:34.072550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.