Pith. sign in

Paper Citation Record · LEDGER

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift

As of 8 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2607.28996.

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

pith.paper-citation-record.v1
2607.28996 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:49:13.234028Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

54 of 54 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved52
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 574480c0-0a62-468f-a40b-4d91d89e237b · outbound

This paper cites Mine action,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Mine action,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:07.581254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:07.581254Z digest=sha256:15f2dcf283c4af5c545879450bda685d448a5c73ecc29a5a08fcc8175cc04275

Observation 1b067cee-2709-4446-ae5e-9d9276b36d7d · outbound

This paper cites Detection and clearance,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Detection and clearance,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:07.669238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:07.669238Z digest=sha256:3387872fbfdbb05a551f82f2798cc8decce4bf3b3f2fd2cfc90e50e8b87856ce

Observation 179c250c-8365-4c03-910f-ac346ce9fa42 · outbound

This paper cites Landmine monitor 2025,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Landmine monitor 2025,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:07.811719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:07.811719Z digest=sha256:95d869bcab5d4bba7dc908ac6cc02ebecd2ef0ffdbca6b1e5e8c9f5773e74546

Observation 64e15db2-6e13-4a1a-99f1-d2460f3a60a0 · outbound

This paper cites Ukraine: Surveying and clearing mines,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Ukraine: Surveying and clearing mines,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:07.954123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:07.954123Z digest=sha256:79f440bb28a7c1227e3193bf582c7391cc0f3a4daeb33a8d8d91c8f58da239f4

Observation 87593d42-03f8-4ccd-b9de-36fa56dada62 · outbound

This paper cites an unresolved cited work.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:08.116224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:08.116224Z digest=sha256:6f9b38447fa502f33611faa9b5a7a5ff9634e63c0a341a2c8119c4e7ea35edb7

Observation 8b5e3284-444f-42f1-939a-a9d0f63521c4 · outbound

This paper cites A guide to non-technical survey,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift A guide to non-technical survey,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:08.291026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:08.291026Z digest=sha256:8a8baf84de082cad08c269f0820945ad3de9f91f5339bff4b8bad4ed5c09e629

Observation 2a379ad2-5547-4f5f-8393-9ef7949b2935 · outbound

This paper cites Unmanned aerial systems for photogrammetry and remote sensing: A review,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Unmanned aerial systems for photogrammetry and remote sensing: A review,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:08.524616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:08.524616Z digest=sha256:33c901b3196d7a5fc69818ee550c121894e5638c6634983a6187051711f0fab9

Observation 7f9459b4-db64-465a-8813-3ebf1d33cfa1 · outbound

This paper cites Uav for 3d mapping applications: a review,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Uav for 3d mapping applications: a review,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:08.693605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:08.693605Z digest=sha256:516bf419b7fde14b57394964f354d21b43f8b2f1441790fa5e7d86c68f2441f1

Observation 9267f61e-748d-4492-b5b0-73649a78f409 · outbound

This paper cites Detection and identification of remnant pfm-1 ‘butterfly mines’ with a uav-based thermal-imaging protocol,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Detection and identification of remnant pfm-1 ‘butterfly mines’ with a uav-based thermal-imaging protocol,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:08.798352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:08.798352Z digest=sha256:623039793419f990274fe0282f8893ce00730a1f8bff8c84f85b51ce4f14bc49

Observation 03458bb9-4a44-452a-8930-1ac00da77a75 · outbound

This paper cites Uav for landmine detection using sdr-based gpr technology,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Uav for landmine detection using sdr-based gpr technology,

Reference 10

Resolution
verified exact
doi, observed 2026-08-03T15:53:32.622159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-03T15:49:08.865438Z digest=sha256:cb102a52e552938521e5ae6a1c093decd51b2ff29545ae29cd50702037cff3c3

Observation 9d2f396b-3aa6-4390-9fb0-167ae0578205 · outbound

This paper cites A comprehensive review on landmine detection using deep learning techniques in 5G environment: open issues and challenges,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift A comprehensive review on landmine detection using deep learning techniques in 5G environment: open issues and challenges,

Reference 11

Resolution
verified exact
doi, observed 2026-08-03T15:53:32.485504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-03T15:49:09.066450Z digest=sha256:c0962644052b8f6182bf3c2102b309f9ab41881581534af8e67fbed575962962

Observation 2f2249a2-59d6-48ae-8ed3-41ddc6a8e154 · outbound

This paper cites Viability of Substituting Handheld Metal Detectors with an Airborne Metal Detection System for Landmine and Unexploded Ordnance Detection,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Viability of Substituting Handheld Metal Detectors with an Airborne Metal Detection System for Landmine and Unexploded Ordnance Detection,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:09.216921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:09.216921Z digest=sha256:51344e18a75f9cbc0051dc11a314b1b4cea37d92a8057622494fa0319306377d

Observation 2e3472f4-cf8c-4836-ad54-7329cea0b053 · outbound

This paper cites A comparative evaluation of uav-based remote sensing and geophysical techniques for landmine detection on a seeded minefield,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift A comparative evaluation of uav-based remote sensing and geophysical techniques for landmine detection on a seeded minefield,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:09.465069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:09.465069Z digest=sha256:27532236bdfabb92f841faacf1a58740c0fb7b626924dd0b78b4b65f22ecdd84

Observation 35d1bbe7-6605-4352-9fcc-fd88a1060e44 · outbound

This paper cites Human-in-the-Loop Signature Bootstrapping for UAV Hyperspectral PFM-1 Mine Detection.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Human-in-the-Loop Signature Bootstrapping for UAV Hyperspectral PFM-1 Mine Detection

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:09.563991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:09.563991Z digest=sha256:fa9ad9b286e6909a46bcd32191e521edbea3c88195e038c19c5086f985f9daef

Observation 58f50a19-5a41-4b0c-ab70-a74f05da4b3a · outbound

This paper cites How to implement drones and machine learning to reduce time, costs, and dangers associated with landmine detection,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift How to implement drones and machine learning to reduce time, costs, and dangers associated with landmine detection,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:09.613563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:09.613563Z digest=sha256:6f171524c4acc1fce5711e25fb698615164c9940dde87b4aba8efa9d2c0c8adb

Observation 68dd97ee-6dcd-4f35-abb6-3a7dbc551517 · outbound

This paper cites Deep Learning-Based Real-Time Detection of Surface Landmines Using Optical Imaging,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Deep Learning-Based Real-Time Detection of Surface Landmines Using Optical Imaging,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:09.671279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:09.671279Z digest=sha256:e487a05b38a887c2092f30d0f2421d9d64863250a41f34e2fc3e3c54a282c212

Observation 301a4394-779a-4cb8-9335-b3f71aa59b9c · outbound

This paper cites Joint fusion and detection via deep learning in uav-borne multispectral sensing of scatterable landmine,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Joint fusion and detection via deep learning in uav-borne multispectral sensing of scatterable landmine,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:09.809925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:09.809925Z digest=sha256:206c5543d5d9d29e29b3adaa142a7995f5dbb5370781ccffb28f5c2da197d10c

Observation da2a5fe8-ec19-472c-8427-b30b5d623bee · outbound

This paper cites Available: https://www.mdpi.com/2072-4292/ 16/4/677.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Available: https://www.mdpi.com/2072-4292/ 16/4/677

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:09.725700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:09.725700Z digest=sha256:528759c29b4524e4827416aefa66ac8c9e0f465f36b02ced28851fa23195dbca

Observation 2bf5e566-fb84-4506-bb15-5d11bc352f33 · outbound

This paper cites Domain adaptation in remote sensing image classification: A survey,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Domain adaptation in remote sensing image classification: A survey,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:09.977226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:09.977226Z digest=sha256:c2d3283e31e09bdc6564de353108dec2c75cd721f59c458b534f34ba15d130b7

Observation e7d902b1-2e46-4052-946b-7894c14553f1 · outbound

This paper cites Deep learning based domain adaptation methods in remote sensing: A comprehensive survey,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Deep learning based domain adaptation methods in remote sensing: A comprehensive survey,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:09.878476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:09.878476Z digest=sha256:8a10eb18f6c0a8e61856c4422cef6ecc7a2a53050edc127447a63e225a84767e

Observation 6d0ee6d7-4e42-445c-8747-fc173f0d7180 · outbound

This paper cites Benchmarking object de- tectors under real-world distribution shifts in satellite imagery,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Benchmarking object de- tectors under real-world distribution shifts in satellite imagery,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:10.143599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:10.143599Z digest=sha256:dc5dc67ebcc30d80440d629c8e4d5e3861868322a54749fae1780430c695967d

Observation 3f35cba3-1f40-4431-a811-c4770eb2bab8 · outbound

This paper cites Domain adaptation for object detection based on domain-aware prompting in re- mote sensing imagery,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Domain adaptation for object detection based on domain-aware prompting in re- mote sensing imagery,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:10.074905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:10.074905Z digest=sha256:469196e195c33256a1b8d61933e6d333391cb4bdb9054862fc17f52168fd8fb4

Observation 605d133d-943b-4dff-a6cc-2d3a1ac07ede · outbound

This paper cites A survey of landmine detection using hyperspectral imaging,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift A survey of landmine detection using hyperspectral imaging,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:10.377165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:10.377165Z digest=sha256:4675d5ab640986cf1fd775ab4feed24329c20004e5bbbfeb2051b54a79e37697

Observation 3273aa0b-8f85-42dd-94f5-fd6ce09926f7 · outbound

This paper cites Identifying label errors in ob- ject detection datasets by loss inspection,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Identifying label errors in ob- ject detection datasets by loss inspection,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:10.235701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:10.235701Z digest=sha256:467ff5cb4ac42b8fd271bded0b5a70c75d1041c39af475fa8b7110a42c7e77cc

Observation 45ac320d-0ad8-4cab-b0d4-b407b4fd6601 · outbound

This paper cites Benchmarking Deep Learning and Statistical Target Detection Methods for PFM-1 Landmine Detection in UA V Hyperspectral Imagery,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Benchmarking Deep Learning and Statistical Target Detection Methods for PFM-1 Landmine Detection in UA V Hyperspectral Imagery,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:10.740076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:10.740076Z digest=sha256:ba095f7324a7b21f2ca9a4ea1c1c2f86d035d12d4d0fc5fed46e2e5e5d67cd7a

Observation 10373c83-d167-46cb-933f-37fed99ff3f5 · outbound

This paper cites A UA V-Based VNIR Hyperspectral Benchmark Dataset for Landmine and UXO Detection,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift A UA V-Based VNIR Hyperspectral Benchmark Dataset for Landmine and UXO Detection,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:10.572584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:10.572584Z digest=sha256:443853c8dcfd25e89b1feea40b43c905b25e60c9d55daea4803403c65e7db503

Observation a5138eca-6432-4298-866b-7e45e0bf029e · outbound

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

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:11.143231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:11.143231Z digest=sha256:a1524cc0ba100bee76069dd6ae9879f3bf2f1ea876ac00399f16069804b2c690

Observation 128c00c9-7b27-4b9b-9b5d-1653c6ef24d3 · outbound

This paper cites Automated Airborne Ordinance Detection Using Data Fusion of Magnetometer and Ground Penetrating Radar,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Automated Airborne Ordinance Detection Using Data Fusion of Magnetometer and Ground Penetrating Radar,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:11.009373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:11.009373Z digest=sha256:077c374e34f46440b7b519f0275c1d9e309fb5886fdf29c2d2a912c0b86b1405

Observation 23a72156-9db0-4266-9c38-275cbb7e05f1 · outbound

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

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Dota: A large-scale dataset for object detection in aerial images,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:11.416269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:11.416269Z digest=sha256:19c89e0018d8e02bd5428a0ce36623234ac1af5741539daa499c2c886004ee5a

Observation dc74f5f6-469c-41d4-a7a7-df912a9f7700 · outbound

This paper cites You only look once: Unified, real-time object detection,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift You only look once: Unified, real-time object detection,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:11.256910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:11.256910Z digest=sha256:a9f6f507d52ac1101bcfdf30ebc7f5d048b7062e0251741309b24712fd5b873f

Observation a3e2f7d0-0373-48ad-a1bc-e53d7756e9ac · outbound

This paper cites Vision Meets Drones: A Challenge.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Vision Meets Drones: A Challenge

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:11.697725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:11.697725Z digest=sha256:cd12111cacb45433c3a9f8ae0c58983db5b989ed955d2ad4fe72cefab302f0da

Observation ea33b7ee-c4bf-447c-9598-2c35b1dcdc29 · outbound

This paper cites The unmanned aerial vehicle bench- mark: Object detection and tracking,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift The unmanned aerial vehicle bench- mark: Object detection and tracking,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:11.559240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:11.559240Z digest=sha256:5f2f377f5a523dea7510338160f4c37f3edbc67cc1732e5f266423ee74d59ee5

Observation ee12f532-fb6b-4ad3-b056-a1097a59e371 · outbound

This paper cites Applying deep learning to automate uav-based detection of scatterable landmines,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Applying deep learning to automate uav-based detection of scatterable landmines,

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:11.997591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:11.997591Z digest=sha256:e2e609f34631793f8fbc4133aea261bd10921239b0150c6b04e2ae86ebd0ec71

Observation 37811c81-ca91-4640-8f99-c8728f231e75 · outbound

This paper cites Multi-scale object detection in remote sensing imagery with convolutional neural networks,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Multi-scale object detection in remote sensing imagery with convolutional neural networks,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:11.848116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:11.848116Z digest=sha256:76006f9fa5f2c5ab4cbf820ad0e91c8363eddbb97601f4fe7d4928cf7eba3856

Observation 81671ddf-8b6e-459f-8d21-7bcf08e2f50d · outbound

This paper cites End-to-end object detection with transformers,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift End-to-end object detection with transformers,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:12.322612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:12.322612Z digest=sha256:9c44d231a48c8847b18d2f70ff22202167366d5654606d78555e2ba44d435fac

Observation 024355ca-68f2-4676-af90-86558402a95a · outbound

This paper cites Sparse r- cnn: End-to-end object detection with learnable proposals,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Sparse r- cnn: End-to-end object detection with learnable proposals,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:12.375143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:12.375143Z digest=sha256:c7caa9af92d27030804c591f4cd7388d38f872c4838266119cb0f63475810b4f

Observation aad9cef5-7c6a-4d62-9e40-1bfabc3620aa · outbound

This paper cites Comparing Surface Landmine Object Detection Models on a New Drone Flyby Dataset.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Comparing Surface Landmine Object Detection Models on a New Drone Flyby Dataset

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:12.232092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:12.232092Z digest=sha256:47dc5a966e5f164e5dcf73208d5c4d61030fccdb153022f5b04ef424fdceef88

Observation df2e2df2-fecf-484b-a88f-b8f23fa230f4 · outbound

This paper cites Uncertainty Quantification in Surface Landmines and UXO Classification using MC Dropout,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Uncertainty Quantification in Surface Landmines and UXO Classification using MC Dropout,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:12.499783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:12.499783Z digest=sha256:c35c2d0ac7ffb1f8761b01d40000cae388e2bb4ca679ce02e6fa62226b230992

Observation b19395f8-963a-4c3c-a02f-42d4bd9df697 · outbound

This paper cites AMLID: An Adaptive Multispectral Landmine Identification Dataset for Drone-Based Detection,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift AMLID: An Adaptive Multispectral Landmine Identification Dataset for Drone-Based Detection,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:12.577223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:12.577223Z digest=sha256:36fabab58e8cb648b58cb214cdaf2f4fef04b1b9910da140dc61d166a0985955

Observation 37fae139-1f95-431d-9174-f2cb1eda1b4d · outbound

This paper cites Varifo- calnet: An iou-aware dense object detector,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Varifo- calnet: An iou-aware dense object detector,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:12.417739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:12.417739Z digest=sha256:bb476270a7e749de9ef1674ea9ffc17ffc86fb048f3aaa425712f05cc7c5c635

Observation ecf386ff-61f7-43d7-b431-7ff6725a990d · outbound

This paper cites Yolov8: A novel object detection algorithm with enhanced performance and robustness,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Yolov8: A novel object detection algorithm with enhanced performance and robustness,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:12.682552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:12.682552Z digest=sha256:2e65abc4c07770b5f2dde1ce4a9f38e145a0739fc84343595ff817ddc11d861a

Observation 9a99f5b1-f9fb-41ae-bb55-47b249185f6a · outbound

This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift YOLOv11: An Overview of the Key Architectural Enhancements

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:12.747385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:12.747385Z digest=sha256:af5063c2d63d5651383fd6c26f3ecd84008cf5eeb9c672750e3ec974a3fe5f20

Observation 9bcfcb3a-20aa-4f84-925c-5e680d773be8 · outbound

This paper cites MineInsight: A Multi-Sensor Dataset for Humanitarian Demining Robotics in Off-Road Environments,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift MineInsight: A Multi-Sensor Dataset for Humanitarian Demining Robotics in Off-Road Environments,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:12.634109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:12.634109Z digest=sha256:83cd7f5eeb4f0b1f763581121d91477e86b2db2e3a862d1d99e946728acd0341

Observation 3d09c071-5b63-41cf-87d4-a8b006678179 · outbound

This paper cites Yolo26: key architectural enhancements and performance benchmarking for real-time object detection,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Yolo26: key architectural enhancements and performance benchmarking for real-time object detection,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:12.839927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:12.839927Z digest=sha256:09970417155ed83c9e3c3fc3d3d6bcbe860c396bd5164dbd9f5de6af058dd093

Observation b0261a64-b054-489f-b05c-5c444895f9c7 · outbound

This paper cites Yolo-world: Real-time open-vocabulary object detection,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Yolo-world: Real-time open-vocabulary object detection,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:12.888509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:12.888509Z digest=sha256:cd525b35db2915baef3f977bf5296e96ef89ecb8c2a8fb703eacba16ae4ae9a8

Observation 80d47467-7ccf-451f-913b-4c53cbe26ab1 · outbound

This paper cites Yolov12: Attention-centric real-time object detectors,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Yolov12: Attention-centric real-time object detectors,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:12.805282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:12.805282Z digest=sha256:df9e84d9cb7af713f14c8a69fa7ac9fc4124fa1f0ba5731a2517e88207b1131c

Observation 76ce0003-5b7a-449b-abc2-fbf6e327b024 · outbound

This paper cites D-fine: Redefine regression task in detrs as fine-grained distribution refinement,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift D-fine: Redefine regression task in detrs as fine-grained distribution refinement,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:12.998574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:12.998574Z digest=sha256:1e159b9b828977e92ffd9543c385e9be64ff419eba1b5b21fffe7f2683136fe7

Observation 4800457b-1da9-4492-a99b-a052c190a040 · outbound

This paper cites Rf-detr: neural architecture search for real-time de- tection transformers,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Rf-detr: neural architecture search for real-time de- tection transformers,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:13.060434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:13.060434Z digest=sha256:1252bf9fc2281166d4665d3dd504a377c1a9d8715bf0f3ef3352c8756d010ce3

Observation 86c38817-6dbf-4efb-86b6-e1844ab3808b · outbound

This paper cites Detrs beat yolos on real-time object detection,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Detrs beat yolos on real-time object detection,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:12.947111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:12.947111Z digest=sha256:2a1f1f17c0be49bcdbe74d92abb264a185c069fa164320cdb6d4bfccabfa1091

Observation 1e778c40-1998-4de7-b24c-f9685e07d03f · outbound

This paper cites Label Studio: Data labeling software,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Label Studio: Data labeling software,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:13.170299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:13.170299Z digest=sha256:5fadc7aabd7145375d2fe2e1432221fa919fbb9a818cc687388e2a056256b47c

Observation 16e42456-00fe-4f4e-a087-ac859ca7aea5 · outbound

This paper cites Microsoft COCO: Com- mon objects in context,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Microsoft COCO: Com- mon objects in context,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:13.234028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:13.234028Z digest=sha256:c3377cb1499586e2db6284b4fa422689cfeb33ec82914687c5398b2be0d2ce4f

Observation 8fcc6e4a-af25-47b7-a8d6-ca0a20c2aec2 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Imagenet: A large-scale hierarchical image database,

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:13.110737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:13.110737Z digest=sha256:ad10b9d53e934004179b94c03bc5496921090e58fd1b9489434785eed76322c1

Observation e179e005-1423-4db6-bd24-2bdb6129fb40 · outbound

This paper cites Available: https://www.mdpi.com/2072-4292/ 12/5/859.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Available: https://www.mdpi.com/2072-4292/ 12/5/859

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:12.121865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:12.121865Z digest=sha256:a163197bc8dd76c949ead5125b92cdb517dd1041e15e041663c5d8f14ad2cf27

Observation d36b4a97-d797-4cd8-a183-5638ef9d273b · outbound

This paper cites Available: https://www.mdpi.com/2072-4292/ 16/24/4732.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Available: https://www.mdpi.com/2072-4292/ 16/24/4732

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T15:49:09.341884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:49:09.341884Z digest=sha256:cf6687578a573563b737720d9f0ea0461b3cfb758906276c7117a84d4541d603

Pith citing papers

No inbound Pith citation observations are available.