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Paper Citation Record · LEDGER

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction

As of 20 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2605.26862.

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

pith.paper-citation-record.v1
2605.26862 v1

Coverage vector

measured 51 of 51 reference resolution

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measured 51 of 51 standing notices

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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

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

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  • verified fuzzy0
  • unresolved38
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  • malformed identifier0
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Outbound references

Observation cd563254-f42a-4138-b37c-6d72643da5f0 · outbound

This paper cites Interactive full image segmentation by considering all regions jointly.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Interactive full image segmentation by considering all regions jointly

Reference 1

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Observation 5baa347e-b3d3-4e4a-9e82-525541a51d8b · outbound

This paper cites Roadtracer: Automatic extraction of road networks from aerial images.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Roadtracer: Automatic extraction of road networks from aerial images

Reference 2

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Observation 3b7e0790-6202-4714-96a4-18a3f34abbb8 · outbound

This paper cites Robustsam: segment anything robustly on de- graded images.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Robustsam: segment anything robustly on de- graded images

Reference 3

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Observation 62fd1f2c-cc9a-4f9b-8749-a06b42a19db1 · outbound

This paper cites ScribbleSeg: Scribble-based Interactive Image Segmentation.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction ScribbleSeg: Scribble-based Interactive Image Segmentation

Reference 4

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Observation a978236f-16fa-4b48-b86b-a81616998acf · outbound

This paper cites Updating road maps at city scale with remote sensed images and existing vector maps.IEEE Transactions on Geoscience and Remote Sensing, 2024.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Updating road maps at city scale with remote sensed images and existing vector maps.IEEE Transactions on Geoscience and Remote Sensing, 2024

Reference 5

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Observation ed4f984b-c78f-495e-a519-038fa31ed1a2 · outbound

This paper cites Connectivity-based cerebrovascular segmentation in time-of-flight magnetic res- onance angiography.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Connectivity-based cerebrovascular segmentation in time-of-flight magnetic res- onance angiography

Reference 6

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Observation 71d5b35c-ca48-432e-9c22-50e39b16dec2 · outbound

This paper cites Deepglobe 2018: A challenge to parse the earth through satellite images.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Deepglobe 2018: A challenge to parse the earth through satellite images

Reference 7

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source=pdf_text observed=2026-06-29T18:15:21.221560Z digest=sha256:288c2f28c7a07074c35fd3566366ed20aa1d9b6fbf1d3193afad1e92c55546ab

Observation 30cda6b0-270f-412c-9634-7a2daf1c087e · outbound

This paper cites Towards sustainable self-supervised learn- ing: Target-enhanced conditional mask-reconstruction for self-supervised learning.Scientia Sinica Informationis, 55 (2):326–342, 2025.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Towards sustainable self-supervised learn- ing: Target-enhanced conditional mask-reconstruction for self-supervised learning.Scientia Sinica Informationis, 55 (2):326–342, 2025

Reference 8

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Observation e1652df4-7c09-4c75-8fc8-3a30180dc646 · outbound

This paper cites Openstreetmap: User- generated street maps.IEEE Pervasive computing, 7(4):12– 18, 2008.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Openstreetmap: User- generated street maps.IEEE Pervasive computing, 7(4):12– 18, 2008

Reference 9

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Observation ad12c9fc-3ba0-491e-96dd-050463ff4576 · outbound

This paper cites Sat2graph: Road graph extraction through graph-tensor en- coding.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Sat2graph: Road graph extraction through graph-tensor en- coding

Reference 10

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Observation ee3acb32-e610-4450-aa80-6f88a7d49ecf · outbound

This paper cites Strip pooling: Rethinking spatial pooling for scene parsing.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Strip pooling: Rethinking spatial pooling for scene parsing

Reference 11

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Observation 04497092-982f-4a42-a88d-b3552f4cc9e9 · outbound

This paper cites Segment anything model for medical images?Medical Image Analysis, 92:103061, 2024.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Segment anything model for medical images?Medical Image Analysis, 92:103061, 2024

Reference 12

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Observation b8e6060d-bda5-455e-8e4d-c6360ba1d22b · outbound

This paper cites nnInteractive: Redefining 3D Promptable Segmentation.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction nnInteractive: Redefining 3D Promptable Segmentation

Reference 13

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Observation 36f36b89-ee5f-4a51-aa15-9248f7d9d8ed · outbound

This paper cites Connnet: A long-range relation- aware pixel-connectivity network for salient segmentation.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Connnet: A long-range relation- aware pixel-connectivity network for salient segmentation

Reference 14

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Observation 756d4451-3bdd-4a55-9f20-7992218ade1e · outbound

This paper cites Segment anything in high quality.Advances in Neural Information Processing Systems, 36:29914–29934, 2023.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Segment anything in high quality.Advances in Neural Information Processing Systems, 36:29914–29934, 2023

Reference 15

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Observation afec6cb9-fecf-4f7d-8a25-0e9f23200952 · outbound

This paper cites Skele- ton recall loss for connectivity conserving and resource ef- ficient segmentation of thin tubular structures.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Skele- ton recall loss for connectivity conserving and resource ef- ficient segmentation of thin tubular structures

Reference 16

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Observation c1cceb25-ccd5-4d2c-95a9-5c36bc7ba790 · outbound

This paper cites Segment any- thing.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Segment any- thing

Reference 17

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Observation 55df2d04-e2c0-4a9c-a401-3591b1509a13 · outbound

This paper cites Scribble2label: Scribble- supervised cell segmentation via self-generating pseudo- labels with consistency.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Scribble2label: Scribble- supervised cell segmentation via self-generating pseudo- labels with consistency

Reference 18

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Observation e7c93f12-7e73-41e5-9918-7047a48b19d3 · outbound

This paper cites Prism: A promptable and robust interactive segmentation 9 model with visual prompts.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Prism: A promptable and robust interactive segmentation 9 model with visual prompts

Reference 19

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Observation 3bf17c2d-588c-4db5-a4d2-65c32421ffe2 · outbound

This paper cites Scribformer: Transformer makes cnn work better for scribble-based medical image segmentation.IEEE Trans- actions on Medical Imaging, 43(6):2254–2265, 2024.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Scribformer: Transformer makes cnn work better for scribble-based medical image segmentation.IEEE Trans- actions on Medical Imaging, 43(6):2254–2265, 2024

Reference 20

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Observation e22cf8c2-c092-43b9-8f32-4a70e46847bb · outbound

This paper cites Gamsnet: Globally aware road detection network with multi- scale residual learning.ISPRS Journal of Photogrammetry and Remote Sensing, 175:340–352, 2021.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Gamsnet: Globally aware road detection network with multi- scale residual learning.ISPRS Journal of Photogrammetry and Remote Sensing, 175:340–352, 2021

Reference 21

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Observation 5e217cb7-a027-4558-9892-f10900c987df · outbound

This paper cites Segment anything model for medical image analysis: an experimental study.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Segment anything model for medical image analysis: an experimental study

Reference 22

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Observation 73ead84f-48f7-4fa2-a05f-9025582df603 · outbound

This paper cites Coanet: Connectivity attention network for road extraction from satellite imagery.IEEE Transactions on Image Process- ing, 30:8540–8552, 2021.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Coanet: Connectivity attention network for road extraction from satellite imagery.IEEE Transactions on Image Process- ing, 30:8540–8552, 2021

Reference 23

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Observation 0fb5aab5-dcd7-441d-9163-3a5e618c75a4 · outbound

This paper cites An automatic method for road extraction in rural and semi-urban areas starting from high resolution satellite imagery.Pattern recognition letters, 26(9):1201–1220, 2005.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction An automatic method for road extraction in rural and semi-urban areas starting from high resolution satellite imagery.Pattern recognition letters, 26(9):1201–1220, 2005

Reference 24

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Observation 3689807e-e110-4d8b-a942-045f0c5ff2f8 · outbound

This paper cites A skeletoniza- tion algorithm for gradient-based optimization.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction A skeletoniza- tion algorithm for gradient-based optimization

Reference 25

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Observation c8b19e0d-f38a-4607-86e3-1ee6fe5b3ef2 · outbound

This paper cites University of Toronto (Canada), 2013.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction University of Toronto (Canada), 2013

Reference 26

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Observation 2dcd5fe3-fc36-45fd-9eaa-090fd10d5857 · outbound

This paper cites A simple detector with frame dynamics is a strong tracker.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction A simple detector with frame dynamics is a strong tracker

Reference 27

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Observation 7eb70c3f-7540-4b43-9839-4458fda5b9fb · outbound

This paper cites Dynamic snake convolution based on topological ge- ometric constraints for tubular structure segmentation.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Dynamic snake convolution based on topological ge- ometric constraints for tubular structure segmentation

Reference 28

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Observation 0ac3072d-e760-4b66-9e2c-761895ae87d6 · outbound

This paper cites SparseMamba-PCL: Scribble-Supervised Medical Image Segmentation via SAM-Guided Progressive Collaborative Learning.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction SparseMamba-PCL: Scribble-Supervised Medical Image Segmentation via SAM-Guided Progressive Collaborative Learning

Reference 29

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Observation 3f6152e3-1189-49c6-9695-1d7a17f0597f · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction SAM 2: Segment Anything in Images and Videos

Reference 30

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Observation 2352cbe5-b77f-4c5f-bff1-1985047eedb7 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction U- net: Convolutional networks for biomedical image segmen- tation

Reference 31

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Observation 1f52ad48-e5e1-45d4-86d6-bedb22424067 · outbound

This paper cites cldice-a novel topology-preserving loss function for tubular structure seg- mentation.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction cldice-a novel topology-preserving loss function for tubular structure seg- mentation

Reference 32

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Observation d24446d4-d7ce-4197-9b64-85cd751abe43 · outbound

This paper cites URoadNet: Dual Sparse Attentive U-Net for Multiscale Road Network Extraction.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction URoadNet: Dual Sparse Attentive U-Net for Multiscale Road Network Extraction

Reference 33

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Observation c06b9df0-c1cc-4366-b413-3bb991109cff · outbound

This paper cites GeoSAM: Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure Segmentation.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction GeoSAM: Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure Segmentation

Reference 34

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Observation 3bd9048d-5332-4f6d-afac-1cfaf768d83b · outbound

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RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Unresolved cited work

Reference 35

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Observation 54a53423-3689-4f89-a702-36a77c64c95b · outbound

This paper cites SpaceNet: A Remote Sensing Dataset and Challenge Series.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction SpaceNet: A Remote Sensing Dataset and Challenge Series

Reference 36

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 11784a17-a3ae-4cd1-9f76-6b394e754557 · outbound

This paper cites Coronary artery centerline tracking with the morphological skeleton loss.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Coronary artery centerline tracking with the morphological skeleton loss

Reference 37

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Observation ac810df9-f072-45f4-85fc-6233b7e4b9c9 · outbound

This paper cites LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Reference 38

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Observation 0f7d30bd-0b5d-40b9-b804-c68aac65f2ba · outbound

This paper cites A review of road extraction from remote sensing images.Journal of traffic and transportation engineering (english edition), 3(3):271–282, 2016.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction A review of road extraction from remote sensing images.Journal of traffic and transportation engineering (english edition), 3(3):271–282, 2016

Reference 39

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Observation f5be9e51-40db-42fd-961b-00bb0cb855f0 · outbound

This paper cites Scribbleprompt: fast and flexible interactive segmen- tation for any biomedical image.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Scribbleprompt: fast and flexible interactive segmen- tation for any biomedical image

Reference 40

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Unavailable: canonical work link unavailable.

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Observation 794b440a-9385-4624-b176-2ae4e033eea7 · outbound

This paper cites an unresolved cited work.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Unresolved cited work

Reference 41

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Unavailable: canonical work link unavailable.

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Observation f6ff169f-604e-4712-b680-4ce771fc9271 · outbound

This paper cites Ret3d: Rethinking object relations for efficient 3d object detection in driving scenes.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Ret3d: Rethinking object relations for efficient 3d object detection in driving scenes

Reference 42

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ac3ee291-28f1-4c5b-a5ee-6da4536cab77 · outbound

This paper cites From Pixels to Progress: Generating Road Network from Satellite Imagery for Socioeconomic Insights in Impoverished Areas.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction From Pixels to Progress: Generating Road Network from Satellite Imagery for Socioeconomic Insights in Impoverished Areas

Reference 43

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Observation ebe36be2-00c7-44a5-aca7-0ed5bfb4ecb4 · outbound

This paper cites Efficientsam: Leveraged masked image pretraining for efficient segment anything.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Efficientsam: Leveraged masked image pretraining for efficient segment anything

Reference 44

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Unavailable: canonical work link unavailable.

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Observation 01fb461e-ccca-4045-a682-023ce12bbb4c · outbound

This paper cites Directional connectivity-based segmentation of medical images.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Directional connectivity-based segmentation of medical images

Reference 45

Resolution
unresolved
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Unavailable: canonical work link unavailable.

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Observation 459adfbe-edd5-43f7-9585-07b869765a95 · outbound

This paper cites Towards Satellite Image Road Graph Extraction: A Global-Scale Dataset and A Novel Method.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Towards Satellite Image Road Graph Extraction: A Global-Scale Dataset and A Novel Method

Reference 46

Resolution
verified exact
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation bcec6d03-c987-49bf-a1ac-c19b438ea26b · outbound

This paper cites Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection

Reference 47

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arxiv_id, observed 2026-06-29T18:23:51.052252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 06f7cf55-5767-46b8-8fef-55f35ae77dbe · outbound

This paper cites Pro- gressive deep segmentation of coronary artery via hierarchi- cal topology learning.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Pro- gressive deep segmentation of coronary artery via hierarchi- cal topology learning

Reference 48

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Unavailable: canonical work link unavailable.

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Observation 72507448-bf41-4da0-85ca-b05c85b3b911 · outbound

This paper cites Exploiting Inherent Class Label: Towards Robust Scribble Supervised Semantic Segmentation.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Exploiting Inherent Class Label: Towards Robust Scribble Supervised Semantic Segmentation

Reference 49

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verified exact
arxiv_id, observed 2026-06-29T18:23:51.033224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2fa56b7e-3aa3-4db5-bffc-df47450755b2 · outbound

This paper cites Graphmorph: Tubular structure extraction by morphing pre- dicted graphs.Advances in Neural Information Processing Systems, 37:68472–68499, 2024.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Graphmorph: Tubular structure extraction by morphing pre- dicted graphs.Advances in Neural Information Processing Systems, 37:68472–68499, 2024

Reference 50

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Unavailable: canonical work link unavailable.

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Observation dce6507e-77d0-47f8-8439-fd8022438b81 · outbound

This paper cites Fast Segment Anything.

RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction Fast Segment Anything

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:23:51.035962Z

Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.