CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation | Paper Citation Record

Observation 5005bd95-f054-48ef-a486-f4197488f644 · outbound

This paper cites Classifying vegetation communities karst wetland synergistic use of image fusion and object-based machine learning algorithm with Jilin-1 and UAV multispectral images,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Classifying vegetation communities karst wetland synergistic use of image fusion and object-based machine learning algorithm with Jilin-1 and UAV multispectral images,

Reference 1

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Observation ed07dcd9-c92b-4bb5-bdf9-42a8bcb7595a · outbound

This paper cites Multi-Object Tracking in Satellite Videos With Graph-Based Multitask Modeling,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Multi-Object Tracking in Satellite Videos With Graph-Based Multitask Modeling,

Reference 2

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Observation 948ea577-21f8-4854-86ff-8ebf001dc7ce · outbound

This paper cites Satellite Video Super-Resolution via Multiscale Deformable Convolution Alignment and Temporal Grouping Projection,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Satellite Video Super-Resolution via Multiscale Deformable Convolution Alignment and Temporal Grouping Projection,

Reference 3

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Observation 8613719e-9e5d-4600-84e5-c7996add677f · outbound

This paper cites Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark,

Reference 4

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Observation 8e23ea00-ff4a-45a0-b8b3-96eb5faa121a · outbound

This paper cites Analyzing spatial variability in night-time lights using a high spatial resolution color Jilin-1 image - Jerusalem as a case study,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Analyzing spatial variability in night-time lights using a high spatial resolution color Jilin-1 image - Jerusalem as a case study,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:16.214055Z

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Observation f7e16c18-f5a1-4bd7-b2f7-e4344f3d67e6 · outbound

This paper cites Regional rare-earth element supply and demand balanced with circular economy strategies,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Regional rare-earth element supply and demand balanced with circular economy strategies,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:16.195740Z

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Observation 0239ec12-414b-4aed-8aaf-d21c21fd642e · outbound

This paper cites AFWS: Angle-Free Weakly Supervised Rotating Object Detection for Remote Sensing Images,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation AFWS: Angle-Free Weakly Supervised Rotating Object Detection for Remote Sensing Images,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:16.180048Z

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Observation 2aea1960-f04a-4546-a5f6-c1319d0ca000 · outbound

This paper cites Full Convolution Neural Network Combined with Contextual Feature Representation for Cropland Extraction from High-Resolution Remote Sensing Images,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Full Convolution Neural Network Combined with Contextual Feature Representation for Cropland Extraction from High-Resolution Remote Sensing Images,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:16.164789Z

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Observation 6811846a-e676-4284-83ab-1ae89c8e1314 · outbound

This paper cites Deep Residual Learning for Image Recognition,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Deep Residual Learning for Image Recognition,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:16.148084Z

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Observation a53c5e99-39ea-45f6-89a5-3a018763b55b · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Rethinking Atrous Convolution for Semantic Image Segmentation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:16.133578Z

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Observation 0d56c2bd-1ebb-406b-8327-1ff4825c5dda · outbound

This paper cites High-Resolution Representations for Labeling Pixels and Regions,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation High-Resolution Representations for Labeling Pixels and Regions,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:16.118423Z

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Observation 18f5891f-aff9-4c3a-ad98-e88665780678 · outbound

This paper cites A ConvNet for the 2020s,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation A ConvNet for the 2020s,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:16.103573Z

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Observation 72f78971-a082-4502-a8bf-21ccb25c7551 · outbound

This paper cites CLNet: Cross-layer convolutional neural network for change detection in optical remote sensing imagery,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation CLNet: Cross-layer convolutional neural network for change detection in optical remote sensing imagery,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:16.088852Z

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Observation 5dde1f21-b0f9-4125-9df8-04be01d9b5fe · outbound

This paper cites SAMPolyBuild: Adapting the Segment Anything Model for polygonal building extraction,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation SAMPolyBuild: Adapting the Segment Anything Model for polygonal building extraction,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:16.073696Z

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Observation 73120433-0a13-4263-89b6-a61dbb7af257 · outbound

This paper cites Remote Sensing Image Scene Classification Based on an Enhanced Attention Module,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Remote Sensing Image Scene Classification Based on an Enhanced Attention Module,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:16.058206Z

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Observation d90552a3-865a-4e62-8467-6e03b02c7957 · outbound

This paper cites Remote Sensing Scene Classification via Multi-Branch Local Attention Network,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Remote Sensing Scene Classification via Multi-Branch Local Attention Network,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:16.043197Z

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Observation ee2674e9-d4a7-4335-b38f-5b3bf528190b · outbound

This paper cites SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:16.027484Z

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Observation 532dbf07-b3e8-423c-8501-047e0ffdeb65 · outbound

This paper cites Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:16.012978Z

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Observation 42df0574-fa5c-466f-a54b-d3db1b3dc9e6 · outbound

This paper cites ChangeCLIP: Remote sensing change detection with multimodal vision-language representation learning,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation ChangeCLIP: Remote sensing change detection with multimodal vision-language representation learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.997225Z

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Observation 715cd574-ccf3-481b-a5a9-9880438b1ec8 · outbound

This paper cites An Empirical Study of Remote Sensing Pretraining,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation An Empirical Study of Remote Sensing Pretraining,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.980497Z

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Observation 75dc68b7-f070-44e7-ad5b-7ce377f76a39 · outbound

This paper cites An Empirical Study of Training Self-Supervised Vision Transformers,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation An Empirical Study of Training Self-Supervised Vision Transformers,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.963818Z

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Observation 950b055d-8a29-407a-abb9-7dcb925ca611 · outbound

This paper cites AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.947953Z

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Observation d067b806-e5db-4da8-9a79-8b311ab65828 · outbound

This paper cites OpenSARShip: A Dataset Dedicated to Sentinel-1 Ship Interpretation,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation OpenSARShip: A Dataset Dedicated to Sentinel-1 Ship Interpretation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.932496Z

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Observation 91724639-08a3-410e-8706-8d1080d5e795 · outbound

This paper cites SSL4EO-S12: A large-scale multimodal, multitemporal dataset for self-supervised learning in Earth observation [Software and Data Sets],.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation SSL4EO-S12: A large-scale multimodal, multitemporal dataset for self-supervised learning in Earth observation [Software and Data Sets],

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.917519Z

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Observation e4ecb359-7eb5-469b-8ea3-d167d9a76912 · outbound

This paper cites Functional Map of the World,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Functional Map of the World,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.902324Z

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Observation 29533872-afa8-4a63-ac52-69e04cff5a68 · outbound

This paper cites BIGEARTHNET: A LARGE-SCALE BENCHMARK ARCHIVE FOR REMOTE SENSING IMAGE UNDERSTANDING,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation BIGEARTHNET: A LARGE-SCALE BENCHMARK ARCHIVE FOR REMOTE SENSING IMAGE UNDERSTANDING,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.887834Z

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Observation ffe5bd5e-59e6-4400-b819-2546b646f405 · outbound

This paper cites BigEarthNet-MM A large-scale, multimodal, multilabel benchmark archive for remote sensing image classification and retrieval,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation BigEarthNet-MM A large-scale, multimodal, multilabel benchmark archive for remote sensing image classification and retrieval,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.871824Z

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Observation f9761970-9ed9-4988-ae12-8135fe226768 · outbound

This paper cites ImageNet: A Large-Scale Hierarchical Image Database,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation ImageNet: A Large-Scale Hierarchical Image Database,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.855743Z

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Observation c184138e-fc17-49fb-b1ff-f26b8c3bae4b · outbound

This paper cites A Global Context-aware and Batch-independent Network for road extraction from VHR satellite imagery,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation A Global Context-aware and Batch-independent Network for road extraction from VHR satellite imagery,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.840301Z

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Observation 531147b4-281a-42b4-be5b-e7b3aeaefcd8 · outbound

This paper cites RingMo-SAM: A Foundation Model for Segment Anything in Multimodal Remote-Sensing Images,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation RingMo-SAM: A Foundation Model for Segment Anything in Multimodal Remote-Sensing Images,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.825037Z

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Observation 0188e9b2-ffff-4498-893b-b78f11c98132 · outbound

This paper cites SDCluster: A clustering based self-supervised pre-training method for semantic segmentation of remote sensing images,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation SDCluster: A clustering based self-supervised pre-training method for semantic segmentation of remote sensing images,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.809937Z

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Observation ddd83aa6-a705-4d35-a289-b352e1da5102 · outbound

This paper cites Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.792752Z

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Observation d926828e-5c4f-477e-ae30-87d1e2b5d143 · outbound

This paper cites Towards Geospatial Foundation Models via Continual Pretraining,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Towards Geospatial Foundation Models via Continual Pretraining,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.777314Z

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Observation 886b939e-99fe-4f9d-bcbd-b20eeaa99a7f · outbound

This paper cites Self-supervised Learning in Remote Sensing: A Review,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Self-supervised Learning in Remote Sensing: A Review,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.762255Z

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Observation bcceb226-c239-4232-9f87-2f226c7d8cdf · outbound

This paper cites Consecutive Pretraining: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Consecutive Pretraining: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.747037Z

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Observation 45fc4194-a03a-4075-a7e1-d468f5bd541c · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation DINOv2: Learning Robust Visual Features without Supervision,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.731751Z

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Observation 23e29c58-59f7-4959-b9ef-fd394d1399c8 · outbound

This paper cites Generative Pretraining from Pixels,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Generative Pretraining from Pixels,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.716318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bb79a384-ca3f-4dc6-9c81-d3a038ee5a35 · outbound

This paper cites Momentum Contrast for Unsupervised Visual Representation Learning,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Momentum Contrast for Unsupervised Visual Representation Learning,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.700377Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1f79a4cc-30bb-4720-af03-6bb137025ff3 · outbound

This paper cites iBOT: Image BERT Pre-Training with Online Tokenizer,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation iBOT: Image BERT Pre-Training with Online Tokenizer,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.685217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a72f4996-7155-4c73-b00b-6a4318d11adf · outbound

This paper cites OmniMAE: Single Model Masked Pretraining on Images and Videos,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation OmniMAE: Single Model Masked Pretraining on Images and Videos,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.668304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3b3575d7-654a-49a8-ba21-7e95a9fca830 · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Masked Autoencoders Are Scalable Vision Learners,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.653764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dbb1a4c2-c096-4775-a074-eb321a7b5051 · outbound

This paper cites Masked Autoencoders that Listen,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Masked Autoencoders that Listen,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.639478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f7d635f5-4b60-4de9-94d4-0a0752b838a3 · outbound

This paper cites VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.623321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 655deaf6-f045-4bf4-b6f3-09c62a29c342 · outbound

This paper cites CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.608019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a56fdf87-89ce-4907-8f21-adc9298942bf · outbound

This paper cites GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.592728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fc044341-cb66-41c1-807b-528f4f8d01c7 · outbound

This paper cites Geography-Aware Self-Supervised Learning,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Geography-Aware Self-Supervised Learning,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.577411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f55a0be5-29f9-472a-a3bb-777536dff8c0 · outbound

This paper cites Change-Aware Sampling and Contrastive Learning for Satellite Images,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Change-Aware Sampling and Contrastive Learning for Satellite Images,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.562555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3dbc8d97-4ea7-40bb-a0fb-f4038e47a4dd · outbound

This paper cites Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.547469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e0374c22-d858-40c9-90ab-8fbde5a0086e · outbound

This paper cites A Billion-scale Foundation Model for Remote Sensing Images.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation A Billion-scale Foundation Model for Remote Sensing Images

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T21:23:14.733114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0af5bb7c-c6ba-4aa8-bcb3-38cebaace746 · outbound

This paper cites RingMo: A Remote Sensing Foundation Model With Masked Image Modeling,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation RingMo: A Remote Sensing Foundation Model With Masked Image Modeling,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.528988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b166e75d-3013-4c26-b9ab-0e43292604be · outbound

This paper cites SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.511999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b1dc3819-87bf-4cce-b2cf-3b11dcde0222 · outbound

This paper cites Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.497039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 72177ac9-d33a-4883-8cf9-54cdbb4f881b · outbound

This paper cites SpectralGPT: Spectral Remote Sensing Foundation Model,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation SpectralGPT: Spectral Remote Sensing Foundation Model,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.481998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c1c471ca-ccba-4771-8f01-d32be4d83e95 · outbound

This paper cites CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.466394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0e06817e-b2a4-4537-80e7-cd9ae2bf94f7 · outbound

This paper cites Contrastive Masked Autoencoders are Stronger Vision Learners,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Contrastive Masked Autoencoders are Stronger Vision Learners,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.449359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2f9c28cb-df21-4508-a3d3-fc5326024fa8 · outbound

This paper cites CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.433345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e7543ad7-e3fc-4643-82d0-75193e68d441 · outbound

This paper cites SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.418856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 82e045e7-cc4d-4c49-b6e9-2ca77932ea06 · outbound

This paper cites Major TOM: Expandable Datasets for Earth Observation,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Major TOM: Expandable Datasets for Earth Observation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.403417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 990c27c6-7aa7-4860-b81c-48ec34d69c16 · outbound

This paper cites On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.388424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e9f6d745-1aa2-429f-aa71-cdea1561c0ce · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.373327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b5514616-11dc-48b3-80c8-ae633bb0804a · outbound

This paper cites Bootstrap your own latent: A new approach to self-supervised Learning,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Bootstrap your own latent: A new approach to self-supervised Learning,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.358004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3366dcb5-a194-473e-8986-6e5f4f83f283 · outbound

This paper cites FLASHATTENTION: Fast and Memory-Efficient Exact Attention with IO-Awareness,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation FLASHATTENTION: Fast and Memory-Efficient Exact Attention with IO-Awareness,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.343000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6eefb038-2255-4b0c-b6ae-f2bb2b403ccf · outbound

This paper cites PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.326864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 115b3321-17a6-44b3-8970-e4203175c291 · outbound

This paper cites Remote Sensing Image Scene Classification: Benchmark and State of the Art,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Remote Sensing Image Scene Classification: Benchmark and State of the Art,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.310007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 95f4782e-1054-4c43-8c99-243f662dc4b9 · outbound

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

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.292688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 53212817-fa91-4ff5-9084-770979136a92 · outbound

This paper cites MTP: Advancing Remote Sensing Foundation Model via Multitask Pretraining,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation MTP: Advancing Remote Sensing Foundation Model via Multitask Pretraining,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.272796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9cdfcd6f-f015-4438-b09f-c948a551cf97 · outbound

This paper cites Object detection in optical remote sensing images: A survey and a new benchmark,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Object detection in optical remote sensing images: A survey and a new benchmark,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.254164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation da2f2c44-65ff-4b54-9571-4fa4e1bfe04f · outbound

This paper cites Anchor-Free Oriented Proposal Generator for Object Detection,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Anchor-Free Oriented Proposal Generator for Object Detection,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.236880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ea8948de-ee39-4592-8df0-2eee846df04d · outbound

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

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.219583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ba5ed2fc-2410-4632-b445-81ffd07f3ccb · outbound

This paper cites iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.202452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d738c979-0570-4ebd-8f6f-3dd9c07e2130 · outbound

This paper cites A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.186322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ea48eeb5-c608-46f6-9320-6461307c369f · outbound

This paper cites A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.169352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5e791be0-f156-4807-b686-079e6ce3fce1 · outbound

This paper cites Change Detection in Remote Sensing Images Using Conditional Adversarial Networks,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Change Detection in Remote Sensing Images Using Conditional Adversarial Networks,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.152354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3c5b562d-795d-48ad-b03e-0673cb9eb26b · outbound

This paper cites A Transformer-Based Siamese Network for Change Detection,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation A Transformer-Based Siamese Network for Change Detection,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.132950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cec4c787-3c56-4e70-b00e-61ad4fc849f1 · outbound

This paper cites Remote Sensing Image Change Detection With Transformers,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Remote Sensing Image Change Detection With Transformers,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.114901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1ae03148-5079-4184-8fe0-3db98517ab4f · outbound

This paper cites HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.097990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 228000d3-8a96-4952-acc6-59700e47380b · outbound

This paper cites Change Guiding Network: Incorporating Change Prior to Guide Change Detection in Remote Sensing Imagery,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Change Guiding Network: Incorporating Change Prior to Guide Change Detection in Remote Sensing Imagery,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.082222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0e45ad1d-4860-469d-8392-30f5fd48c2ee · outbound

This paper cites Exchanging Dual-Encoder-Decoder: A New Strategy for Change Detection With Semantic Guidance and Spatial Localization,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Exchanging Dual-Encoder-Decoder: A New Strategy for Change Detection With Semantic Guidance and Spatial Localization,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.066027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9927e0f5-33d8-435b-833a-0c94d4bb42cb · outbound

This paper cites C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.047039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6628a37b-fa4f-4d5e-b636-c58867bebb99 · outbound

This paper cites MutSimNet: Mutually Reinforcing Similarity Learning for RS Image Change Detection,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation MutSimNet: Mutually Reinforcing Similarity Learning for RS Image Change Detection,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.024809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d56c6d81-7449-4ebd-98e4-ebf94d668937 · outbound

This paper cites Candidate-Aware and Change-Guided Learning for Remote Sensing Change Detection,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Candidate-Aware and Change-Guided Learning for Remote Sensing Change Detection,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:15.005177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6e4a1b63-3c79-4fa2-8833-d92b3a305fbe · outbound

This paper cites UAV-YOLOv8: A Small-Object-Detection Model Based on Improved YOLOv8 for UAV Aerial Photography Scenarios,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation UAV-YOLOv8: A Small-Object-Detection Model Based on Improved YOLOv8 for UAV Aerial Photography Scenarios,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:14.983630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 67a1ea55-e54f-4c00-9e96-2aa637ffb04d · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows,.

CGEarthEye:A High-Resolution Remote Sensing Vision Foundation Model Based on the Jilin-1 Satellite Constellation Swin Transformer: Hierarchical Vision Transformer using Shifted Windows,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:23:14.966186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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