Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:21:57.827375Z
Paper Citation Record · LEDGER
Visual Question Answering on Multiple Remote Sensing Image Modalities
As of 9 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2505.15401.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
46 of 46 outbound references displayed
- verified exact2
- verified fuzzy38
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ee5f9f08-db8f-49f3-aa17-aae05f21407d · outbound
This paper cites Visual Question An- swering for Wishart H-Alpha Classification of Polarimetric SAR Images.
Visual Question Answering on Multiple Remote Sensing Image Modalities Visual Question An- swering for Wishart H-Alpha Classification of Polarimetric SAR Images
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.579321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 72cd52bd-54da-406e-a04e-f8f67f362add · outbound
This paper cites Bottom-up and top-down attention for image captioning and visual question answering.
Visual Question Answering on Multiple Remote Sensing Image Modalities Bottom-up and top-down attention for image captioning and visual question answering
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.565503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cbb3dcdb-0f39-4df0-af7e-50773d900597 · outbound
This paper cites VQA: Visual question answering.
Visual Question Answering on Multiple Remote Sensing Image Modalities VQA: Visual question answering
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.552413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 14b93957-a845-4c1d-901a-f47bb9a90d79 · outbound
This paper cites Language trans- formers for remote sensing visual question answering.
Visual Question Answering on Multiple Remote Sensing Image Modalities Language trans- formers for remote sensing visual question answering
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.538376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1569f4e1-b7de-4fde-a3df-03e7d78eda25 · outbound
This paper cites Prompt-RSVQA: Prompting visual context to a language model for remote sensing visual question answering.
Visual Question Answering on Multiple Remote Sensing Image Modalities Prompt-RSVQA: Prompting visual context to a language model for remote sensing visual question answering
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.525109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3a3acf35-426a-4159-b21a-8a5961d67822 · outbound
This paper cites Multi-task prompt-RSVQA to explicitly count objects on aerial images.
Visual Question Answering on Multiple Remote Sensing Image Modalities Multi-task prompt-RSVQA to explicitly count objects on aerial images
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.507890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 87075da6-15b3-43bc-a8d6-88ade9d3c2be · outbound
This paper cites The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation.
Visual Question Answering on Multiple Remote Sensing Image Modalities The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T15:21:57.948776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9c8c442e-917f-41f3-a6d5-0f50ec553a95 · outbound
This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
Visual Question Answering on Multiple Remote Sensing Image Modalities BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:21:57.656270Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bad9fba5-c881-435c-bcba-c4c1ea3913c5 · outbound
This paper cites PubMedCLIP: How Much Does CLIP Benefit Visual Ques- tion Answering in the Medical Domain? InEACL, pages 1151–1163, 2023.
Visual Question Answering on Multiple Remote Sensing Image Modalities PubMedCLIP: How Much Does CLIP Benefit Visual Ques- tion Answering in the Medical Domain? InEACL, pages 1151–1163, 2023
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.492397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 04287ee4-337b-413e-ab54-6e83bea5363a · outbound
This paper cites S2 missionhttps : / / sentiwiki.copernicus.eu/web/s2- mission# S2Mission - RadiometricPerformanceS2 - Mission - Radiometric - Performancetrue.
Visual Question Answering on Multiple Remote Sensing Image Modalities S2 missionhttps : / / sentiwiki.copernicus.eu/web/s2- mission# S2Mission - RadiometricPerformanceS2 - Mission - Radiometric - Performancetrue
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.476357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ce95719a-c126-4d54-9a28-a069b0e37db5 · outbound
This paper cites Cross- modal visual question answering for remote sensing data.
Visual Question Answering on Multiple Remote Sensing Image Modalities Cross- modal visual question answering for remote sensing data
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.462321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6167abf0-df47-4bd7-b9bb-470696cd188d · outbound
This paper cites Making the V in VQA matter: El- evating the role of image understanding in visual question answering.
Visual Question Answering on Multiple Remote Sensing Image Modalities Making the V in VQA matter: El- evating the role of image understanding in visual question answering
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.447398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b14f041d-5c20-43d0-a7f6-b1d2c604712d · outbound
This paper cites Overview of image- CLEF 2018 medical domain visual question answering task.
Visual Question Answering on Multiple Remote Sensing Image Modalities Overview of image- CLEF 2018 medical domain visual question answering task
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.433192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation acab82ca-f225-44be-82a5-af778643655f · outbound
This paper cites PromptCap: Prompt-guided image captioning for SAR with GPT-3.
Visual Question Answering on Multiple Remote Sensing Image Modalities PromptCap: Prompt-guided image captioning for SAR with GPT-3
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.416960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6b9b9f92-e9f7-404f-9574-b7ea41712f52 · outbound
This paper cites CLEVR: A diagnostic dataset for compositional language and elementary visual reasoning.
Visual Question Answering on Multiple Remote Sensing Image Modalities CLEVR: A diagnostic dataset for compositional language and elementary visual reasoning
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.395061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9b8a1a1a-3e0b-4894-a8e1-7a382063846c · outbound
This paper cites Q: How to specialize large vision-language models to data-scarce VQA tasks? a: Self-train on unlabeled images! InCVPR Proceedings, pages 15005–15015, 2023.
Visual Question Answering on Multiple Remote Sensing Image Modalities Q: How to specialize large vision-language models to data-scarce VQA tasks? a: Self-train on unlabeled images! InCVPR Proceedings, pages 15005–15015, 2023
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.379262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 158f617a-7fbd-4cdd-ab8d-5c937bae040b · outbound
This paper cites Deep learning in multi- modal remote sensing data fusion: A comprehensive review.
Visual Question Answering on Multiple Remote Sensing Image Modalities Deep learning in multi- modal remote sensing data fusion: A comprehensive review
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.363362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 86e211b8-017c-46b3-899a-a9ae42449976 · outbound
This paper cites VisualBERT: A Simple and Performant Baseline for Vision and Language.
Visual Question Answering on Multiple Remote Sensing Image Modalities VisualBERT: A Simple and Performant Baseline for Vision and Language
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:21:57.700445Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1301e4cd-21d6-46a0-b1e2-3cfff6b3f5d0 · outbound
This paper cites A comprehensive study of GPT-4V’s multimodal capabilities in medical imaging.
Visual Question Answering on Multiple Remote Sensing Image Modalities A comprehensive study of GPT-4V’s multimodal capabilities in medical imaging
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.348262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 12c92640-5b84-4a23-b599-6aafacffe9af · outbound
This paper cites Medical visual question answering: A survey.Artificial In- telligence in Medicine, page 102611, 2023.
Visual Question Answering on Multiple Remote Sensing Image Modalities Medical visual question answering: A survey.Artificial In- telligence in Medicine, page 102611, 2023
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.333948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 01596c57-bf5b-485a-ba05-ac31a85d6fbd · outbound
This paper cites RSVQA: Visual question answering for remote sensing data.
Visual Question Answering on Multiple Remote Sensing Image Modalities RSVQA: Visual question answering for remote sensing data
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.320721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ea858d96-e9e7-4634-85fd-bdbb2f754d66 · outbound
This paper cites RSVQA meets BigEarthNet: a new, large-scale, visual question an- swering dataset for remote sensing.
Visual Question Answering on Multiple Remote Sensing Image Modalities RSVQA meets BigEarthNet: a new, large-scale, visual question an- swering dataset for remote sensing
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.305404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a031490f-64a6-4c73-95d2-fff894e5a46c · outbound
This paper cites Deep learning and earth observation to support the sustainable development goals: Current approaches, open challenges, and future opportunities.GRS, 10(2):172–200,.
Visual Question Answering on Multiple Remote Sensing Image Modalities Deep learning and earth observation to support the sustainable development goals: Current approaches, open challenges, and future opportunities.GRS, 10(2):172–200,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.288909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e1a65670-4db2-4f13-850d-ef3ddd8017a3 · outbound
This paper cites Learn- ing transferable visual models from natural language super- vision.
Visual Question Answering on Multiple Remote Sensing Image Modalities Learn- ing transferable visual models from natural language super- vision
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:21:57.730126Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2d6b8fa-8ecb-491b-ab41-ac35a409a5b3 · outbound
This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.
Visual Question Answering on Multiple Remote Sensing Image Modalities DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:21:57.734380Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f51676e-46bc-46ab-a39e-c9b364ed7332 · outbound
This paper cites How Much Can CLIP Benefit Vision-and-Language Tasks?.
Visual Question Answering on Multiple Remote Sensing Image Modalities How Much Can CLIP Benefit Vision-and-Language Tasks?
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:21:57.738692Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33e86e99-5d9c-4be6-92c2-07820ee4a957 · outbound
This paper cites BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding.
Visual Question Answering on Multiple Remote Sensing Image Modalities BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.265233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5414bcfe-b7c1-4eb3-9991-cbed8248c692 · outbound
This paper cites BigEarthNet-MM: A large-scale, multimodal, multilabel benchmark archive for remote sensing image classification and retrieval [software and data sets].GRS, 9(3):174–180, 2021.
Visual Question Answering on Multiple Remote Sensing Image Modalities BigEarthNet-MM: A large-scale, multimodal, multilabel benchmark archive for remote sensing image classification and retrieval [software and data sets].GRS, 9(3):174–180, 2021
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.249885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ac91fa7a-49c9-428c-bace-78be154dbe7d · outbound
This paper cites LXMERT: Learning cross- modality encoder representations from transformers.
Visual Question Answering on Multiple Remote Sensing Image Modalities LXMERT: Learning cross- modality encoder representations from transformers
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.234529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 479d1f48-f656-44c2-9d25-704d89862741 · outbound
This paper cites Segmentation-guided attention for visual question answering from remote sensing images.
Visual Question Answering on Multiple Remote Sensing Image Modalities Segmentation-guided attention for visual question answering from remote sensing images
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.220015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 33ff6f2d-ca6c-4bc6-8303-f71d08550ef9 · outbound
This paper cites Can SAR improve RSVQA performance? In EUSAR, pages 1287–1292.
Visual Question Answering on Multiple Remote Sensing Image Modalities Can SAR improve RSVQA performance? In EUSAR, pages 1287–1292
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.204385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 28086c65-172e-49b7-a07b-3d98ad54f09c · outbound
This paper cites A Visual Question Answering Method for SAR Ship: Breaking the Requirement for Multimodal Dataset Construction and Model Fine-Tuning.
Visual Question Answering on Multiple Remote Sensing Image Modalities A Visual Question Answering Method for SAR Ship: Breaking the Requirement for Multimodal Dataset Construction and Model Fine-Tuning
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T15:21:57.871156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 190efb43-6d6a-4629-a6e1-d16bb1bc55ff · outbound
This paper cites Labsar, a one- gcp coregistration tool for sar–insar local analysis in high- mountain regions.Frontiers in Remote Sensing, 3:935137,.
Visual Question Answering on Multiple Remote Sensing Image Modalities Labsar, a one- gcp coregistration tool for sar–insar local analysis in high- mountain regions.Frontiers in Remote Sensing, 3:935137,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.185744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation eefacd51-dccc-4db1-a41f-169c64f1d508 · outbound
This paper cites LabSAR, a one-GCP coregistration tool for SAR–InSAR local analysis in high- mountain regions.Frontiers in Remote Sensing, 3, 2022.
Visual Question Answering on Multiple Remote Sensing Image Modalities LabSAR, a one-GCP coregistration tool for SAR–InSAR local analysis in high- mountain regions.Frontiers in Remote Sensing, 3, 2022
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.165300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4370f8d1-0e16-41e1-bde3-84d33c886329 · outbound
This paper cites Stacked attention networks for image question answering.
Visual Question Answering on Multiple Remote Sensing Image Modalities Stacked attention networks for image question answering
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.147493Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 481cc563-b99c-4592-8e44-1758d5739415 · outbound
This paper cites Self- paced curriculum learning for visual question answering on remote sensing data.
Visual Question Answering on Multiple Remote Sensing Image Modalities Self- paced curriculum learning for visual question answering on remote sensing data
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.131387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4922c276-5ea5-4815-b7dc-0e8fc436f18a · outbound
This paper cites Multi- lingual augmentation for robust visual question answering in remote sensing images.
Visual Question Answering on Multiple Remote Sensing Image Modalities Multi- lingual augmentation for robust visual question answering in remote sensing images
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.113860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3639b5e5-987d-42e6-a45c-1158e4d87256 · outbound
This paper cites Frequency domain transfer learning for remote sensing visual question answering.
Visual Question Answering on Multiple Remote Sensing Image Modalities Frequency domain transfer learning for remote sensing visual question answering
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.090347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d2f071f0-c906-4382-8fdf-342f25dfc8a7 · outbound
This paper cites Exploring data and models in SAR ship image captioning.IEEE Access, 10:pp.
Visual Question Answering on Multiple Remote Sensing Image Modalities Exploring data and models in SAR ship image captioning.IEEE Access, 10:pp
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.074940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 404125af-856a-44de-885a-48d7e81ab912 · outbound
This paper cites Mutual attention inception network for remote sensing visual question answering.TGRS, 60:1–14, 2021.
Visual Question Answering on Multiple Remote Sensing Image Modalities Mutual attention inception network for remote sensing visual question answering.TGRS, 60:1–14, 2021
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.058588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2702e120-efee-4a32-aa7d-5874ef75d4fe · outbound
This paper cites TRAR: Routing the attention spans in transformer for visual question answering.
Visual Question Answering on Multiple Remote Sensing Image Modalities TRAR: Routing the attention spans in transformer for visual question answering
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.040297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 08bba89e-9e50-447d-9c45-c26b9122cbbc · outbound
This paper cites To do so, we need the geographical position of the center of the VHR patch.
Visual Question Answering on Multiple Remote Sensing Image Modalities To do so, we need the geographical position of the center of the VHR patch
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:58.025421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 06147c63-591a-457c-8970-996923b93856 · outbound
This paper cites an unresolved cited work.
Visual Question Answering on Multiple Remote Sensing Image Modalities Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T15:21:58.010460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation aa5e0a4b-d6f6-4b0c-ab9b-3e3eb4239863 · outbound
This paper cites To find the correct swath, the projection of the geographical point is applied, using the meta-data linked to each swath.
Visual Question Answering on Multiple Remote Sensing Image Modalities To find the correct swath, the projection of the geographical point is applied, using the meta-data linked to each swath
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:57.996401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 784ca467-5426-4cdd-b736-b85e603c9cbd · outbound
This paper cites The S1 images need to be debursted (removing of the black line and of the overlap) to get a continuous image before to extract the S1 patch that is inputted in the model.
Visual Question Answering on Multiple Remote Sensing Image Modalities The S1 images need to be debursted (removing of the black line and of the overlap) to get a continuous image before to extract the S1 patch that is inputted in the model
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:57.979691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6b0b2b99-4316-4d9d-9902-264e0b7a7d45 · outbound
This paper cites A tail- value elimination procedure is performed on each chan- nel separately using statistics information extracted over the whole dataset.
Visual Question Answering on Multiple Remote Sensing Image Modalities A tail- value elimination procedure is performed on each chan- nel separately using statistics information extracted over the whole dataset
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:21:57.965667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.