Paper Citation Record · LEDGER

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning

As of 5 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2605.03968.

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

pith.paper-citation-record.v1
2605.03968 v1

Coverage vector

measured 45 of 45 reference resolution

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measured 46 of 46 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T07:30:23.480111Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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verified fuzzy26
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External citation measurements

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Outbound references

Observation 9bde6d1b-1cee-4a04-9239-479ab062d254 · outbound

This paper cites Towards interpretable and reliable deep learning mod- els.Frontiers in Neuroscience, 17:1293803.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Towards interpretable and reliable deep learning mod- els.Frontiers in Neuroscience, 17:1293803

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:20:14.429147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation aee4bf89-33f0-4479-acb6-ec7430af9da1 · outbound

This paper cites Agricultural object detection with you only look once (yolo) algorithm: A bibliometric and systematic literature review.Computers and Electronics in Agriculture, 223: 109090.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Agricultural object detection with you only look once (yolo) algorithm: A bibliometric and systematic literature review.Computers and Electronics in Agriculture, 223: 109090

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.531095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f9ef21c5-afe6-47b7-ad09-c1cd759023e3 · outbound

This paper cites Satlaspretrain: A large- scale dataset for remote sensing image understanding.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Satlaspretrain: A large- scale dataset for remote sensing image understanding

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.534785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9a493ab2-19ea-42e2-98f5-69fd40e61c6b · outbound

This paper cites SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:41:31.489591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7d1d95fc-da40-4bea-99f5-db249f6fb007 · outbound

This paper cites Ai-powered school mapping and connectivity status prediction us- ing earth observation.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Ai-powered school mapping and connectivity status prediction us- ing earth observation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.558206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 268d7456-c793-4985-83c3-348e5c9c9046 · outbound

This paper cites The pascal visual object classes (voc) challenge.International Journal of Computer Vision, 88(2):303–338.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning The pascal visual object classes (voc) challenge.International Journal of Computer Vision, 88(2):303–338

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.541297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 88ea9fe1-e7c0-4aa3-9a25-e927da7f0272 · outbound

This paper cites Every call is precious: Global optimization of black-box functions with unknown lips- chitz constants.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Every call is precious: Global optimization of black-box functions with unknown lips- chitz constants

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.551919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 654ced5c-8e7e-4fcb-88df-c4738eff3855 · outbound

This paper cites Ecpv2: Fast, efficient, and scalable global optimization of lipschitz functions.Proceedings of the AAAI Conference on Artificial Intelligence, 40(43): 36909–36918, Mar.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Ecpv2: Fast, efficient, and scalable global optimization of lipschitz functions.Proceedings of the AAAI Conference on Artificial Intelligence, 40(43): 36909–36918, Mar

Reference 8

Resolution: verified exact; doi, observed 2026-05-09T05:20:14.426420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3ca028db-c2bf-42c0-96ec-ba2ac27a0fc0 · outbound

This paper cites Detection of schools in remote sensing images based on attention-guided dense network.ISPRS In- ternational Journal of Geo-Information, 10(11).

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Detection of schools in remote sensing images based on attention-guided dense network.ISPRS In- ternational Journal of Geo-Information, 10(11)

Reference 9

Resolution: verified exact; doi, observed 2026-05-09T05:20:14.420698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c11397e5-fa9d-4c7c-b449-154a2ac2b424 · outbound

This paper cites Giga interactive map.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Giga interactive map

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.561119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b7304b0e-9a4f-441d-8b21-89cdb632e1dc · outbound

This paper cites Fast R-CNN.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Fast R-CNN

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:41:31.521994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d437b5a4-2828-4ea5-843a-60a2530a58d7 · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Rich feature hierarchies for accurate object detection and semantic segmentation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.545157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f09f2770-20bc-4d27-94b4-689c24d31502 · outbound

This paper cites Google static maps api.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Google static maps api

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.537836Z

Source-reported events for the cited work

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Observation 6146877b-fe11-48cb-bcaa-d3989a7ea3c5 · outbound

This paper cites an unresolved cited work.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-05-27T11:09:00.554929Z

Source-reported events for the cited work

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Observation 975fd0e7-3975-420d-92ab-1b6eaa380b37 · outbound

This paper cites Ultralytics yolo11.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Ultralytics yolo11

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.548687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 81a09804-fbcd-4563-b95a-2e15fbb097be · outbound

This paper cites Ultra- lytics yolov8.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Ultra- lytics yolov8

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.609172Z

Source-reported events for the cited work

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Observation fecddcb0-6ef4-43fb-9580-46edf18be1bb · outbound

This paper cites Segment Anything.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Segment Anything

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-12T10:41:31.484974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 33357fb1-e889-43c6-b97d-0f5c8d2fe123 · outbound

This paper cites The global k-means clustering algorithm.Pattern recognition, 36(2):451–461.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning The global k-means clustering algorithm.Pattern recognition, 36(2):451–461

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.596597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5f5c71d2-2a81-495d-8979-47d9597689fc · outbound

This paper cites Lawrence Zitnick.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Lawrence Zitnick

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.625224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 53047dc6-658e-492d-9a01-0893d4982488 · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.606117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 829e0da2-851b-4165-b7ff-5902f35ef1e4 · outbound

This paper cites Auto- mated school location mapping at scale from satellite imagery based on deep learning.Remote Sensing, 14 (4):897.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Auto- mated school location mapping at scale from satellite imagery based on deep learning.Remote Sensing, 14 (4):897

Reference 21

Resolution: verified exact; doi, observed 2026-05-09T05:20:14.431174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 06133261-fe56-48e3-b282-3c4b77a5dae2 · outbound

This paper cites lang-segment-anything: Language-guided segment anything.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning lang-segment-anything: Language-guided segment anything

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.612208Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 29508691-39ad-4324-8e39-828cddd9328a · outbound

This paper cites A comprehensive review of object detection with traditional and deep learning methods.Signal Processing, 237:110075.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning A comprehensive review of object detection with traditional and deep learning methods.Signal Processing, 237:110075

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:20:14.424252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 825985f3-f579-4d97-9d11-9ddbf2625056 · outbound

This paper cites A comprehensive systematic review of yolo for medical object detection (2018 to 2023).IEEE Access, 12:57815–57836.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning A comprehensive systematic review of yolo for medical object detection (2018 to 2023).IEEE Access, 12:57815–57836

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.615538Z

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Observation adbb2174-a1b1-4d60-bde9-608c57e48d65 · outbound

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

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning SAM 2: Segment Anything in Images and Videos

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-12T10:41:31.493709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 49942115-8019-48f8-8361-a90432b19ae2 · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:41:31.504219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b6dea387-fb7b-47cf-b903-b377d529c079 · outbound

This paper cites Automatic vege- tation identification and building detection from a sin- gle nadir aerial image.Remote Sensing, 1(4):731–757.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Automatic vege- tation identification and building detection from a sin- gle nadir aerial image.Remote Sensing, 1(4):731–757

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.618761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b12aeb38-3dd3-4d72-855b-1adb78de201d · outbound

This paper cites doi: 10.3390/rs1040731.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning doi: 10.3390/rs1040731

Reference 28

Resolution: verified exact; doi, observed 2026-05-09T05:20:14.434773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f1b33f91-ad36-49a5-968b-c6bae9d22420 · outbound

This paper cites Continental-Scale Building Detection from High Resolution Satellite Imagery.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Continental-Scale Building Detection from High Resolution Satellite Imagery

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:41:31.515833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 85110a5b-ce89-4ba2-9fd8-195682ae51d8 · outbound

This paper cites Ultralyt- ics yolo12: Attention-centric real-time object detectors.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Ultralyt- ics yolo12: Attention-centric real-time object detectors

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.602865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f85c31b1-b909-4e8b-9af4-ffc5485cec2d · outbound

This paper cites an unresolved cited work.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-05-27T11:09:00.628459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4e92d254-b59c-4a5b-be97-10cf5d0b3884 · outbound

This paper cites Large-scale school mapping using weakly supervised deep learning for universal school connectivity.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Large-scale school mapping using weakly supervised deep learning for universal school connectivity

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.592718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 901562c9-46a5-449b-a9c5-f014da29dc06 · outbound

This paper cites Covid-19: Are children able to continue learning during school closures?.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Covid-19: Are children able to continue learning during school closures?

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.599793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation da01c3b0-0fa5-4915-9dc3-019c14666f78 · outbound

This paper cites UNICEF Data Brief.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning UNICEF Data Brief

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.621962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 149f59e7-22f6-4ed5-9916-5c4bfa01a91a · outbound

This paper cites Two thirds of the world’s school-age children have no internet access at home, new unicef-itu report says.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Two thirds of the world’s school-age children have no internet access at home, new unicef-itu report says

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.639745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e7f5bec3-a590-43ea-b1ad-501e9b8b518c · outbound

This paper cites Giga interactive map.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Giga interactive map

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.643609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f94e5dc0-a185-4833-8575-1469c7071bc0 · outbound

This paper cites With almost half of world’s population still offline, digital divide risks become ‘new face of inequality’, deputy secretary-general warns general as- sembly, April 2021.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning With almost half of world’s population still offline, digital divide risks become ‘new face of inequality’, deputy secretary-general warns general as- sembly, April 2021

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.646994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 865e500c-3ace-4861-ba1f-d218819558af · outbound

This paper cites doi:10.5066/F7QN651G.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning doi:10.5066/F7QN651G

Reference 38

Resolution: verified exact; doi, observed 2026-05-09T05:20:14.433123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2d475a38-68f2-4fda-8c36-f224974182f8 · outbound

This paper cites Yolov10: Real-time end-to-end object detection.Advances in Neural Information Processing Systems, 37:107984–108011.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Yolov10: Real-time end-to-end object detection.Advances in Neural Information Processing Systems, 37:107984–108011

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.650718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f6d32e7d-7ca7-46d3-9825-298f9e84c00e · outbound

This paper cites YOLO-RS: Remote Sensing Enhanced Crop Detection Methods.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning YOLO-RS: Remote Sensing Enhanced Crop Detection Methods

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:41:31.498567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 52ec5804-b502-4add-94f4-38a4837df37e · outbound

This paper cites Nguyen, Jessica Block, Daniel Crawl, Naroa Zurutuza, Dohyung Kim, Gordon Han- son, and Ilkay Altintas.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Nguyen, Jessica Block, Daniel Crawl, Naroa Zurutuza, Dohyung Kim, Gordon Han- son, and Ilkay Altintas

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:20:14.415108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8e02ecad-13a0-4c19-900b-4fc84492f4fa · outbound

This paper cites Towards equitable 11 access to information and opportunity for all: map- ping schools with high-resolution satellite imagery and machine learning.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Towards equitable 11 access to information and opportunity for all: map- ping schools with high-resolution satellite imagery and machine learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.632204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0eaad090-58b8-4405-9a29-ccc1748e7e7b · outbound

This paper cites Scnet: A lightweight and efficient object detection network for remote sens- ing.IEEE Geoscience and Remote Sensing Letters, 21: 1–5.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning Scnet: A lightweight and efficient object detection network for remote sens- ing.IEEE Geoscience and Remote Sensing Letters, 21: 1–5

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:20:14.418535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a9ff3bbe-bbd6-47a9-b0b8-e67740e1a6c2 · outbound

This paper cites This setup allows us to analyze how the different detectors scale when a moderate amount of labeled data becomes available.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning This setup allows us to analyze how the different detectors scale when a moderate amount of labeled data becomes available

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T11:09:00.635746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation df322d78-1869-4b23-b89f-6f7822cb8f0f · outbound

This paper cites The validation and test sets remain unchanged in order to preserve the comparability of the experiments.

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning The validation and test sets remain unchanged in order to preserve the comparability of the experiments

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Signal from Space: Detecting Schools and Towers to Bridge the Digital Divide cites this paper.

Signal from Space: Detecting Schools and Towers to Bridge the Digital Divide Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning

Reference 8

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