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Paper Citation Record · LEDGER

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing

As of 23 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2412.13684.

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

pith.paper-citation-record.v1
2412.13684 v3

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:58:10.649578Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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 exact0
  • verified fuzzy42
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e2404533-3741-4d6f-b6fa-59e5cd445cc2 · outbound

This paper cites Efficient inductive vision transformer for oriented object detection in remote sensing imagery,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Efficient inductive vision transformer for oriented object detection in remote sensing imagery,

Reference 2

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 03f2745c-5918-4e4c-8cc8-57cb43703d91 · outbound

This paper cites Global to local: A scale-aware network for remote sensing object detection,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Global to local: A scale-aware network for remote sensing object detection,

Reference 3

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation eaacd9d9-7475-4cde-951f-bccd6aded712 · outbound

This paper cites Large selec- tive kernel network for remote sensing object detection,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Large selec- tive kernel network for remote sensing object detection,

Reference 4

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f6394bca-424b-46ac-b960-34bd386e91cb · outbound

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

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 5

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Observation 615b4d93-e597-402f-8e6c-b620a4b3f73d · outbound

This paper cites Cm-net: Concen- tric mask based arbitrary-shaped text detection,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Cm-net: Concen- tric mask based arbitrary-shaped text detection,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation eae8c007-04a5-4105-8985-2b89c8677339 · outbound

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

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Rich feature hierarchies for accurate object detection and semantic segmentation,

Reference 7

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Observation 8ecfd948-96fe-4f96-9cca-62568d085bd1 · outbound

This paper cites Text growing on leaf,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Text growing on leaf,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d4657224-1a67-4a57-94ee-067cc229335c · outbound

This paper cites Denoising diffusion probabilistic models,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Denoising diffusion probabilistic models,

Reference 9

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source=pdf_text observed=2026-08-11T12:58:10.331407Z digest=sha256:228ea9cc0a6d2396f1e5292d99bc0d18e7e94ade5142c6cd2f6bbb15274d92d2

Observation 822d6514-94d7-4349-9c95-166c38030889 · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing High- resolution image synthesis with latent diffusion models,

Reference 10

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T12:58:10.336670Z digest=sha256:6064fb6bfa7d04de0897a5dcf8aceb0de22ca4acf29cca95f281c0f6e10a1ab5

Observation bafec271-8ea5-4fe5-b4d9-7190705fe76e · outbound

This paper cites Adding conditional control to text-to-image diffusion models,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Adding conditional control to text-to-image diffusion models,

Reference 11

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source=pdf_text observed=2026-08-11T12:58:10.345499Z digest=sha256:7a9a8baeed227fe90b3ba4f843a664ea3c82b4cd6134c0ac83c60f06d593a09f

Observation 8c0c9c92-c9e8-4683-94b8-1fd20f67ea86 · outbound

This paper cites Crs-diff: Controllable remote sensing image generation with diffusion model,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Crs-diff: Controllable remote sensing image generation with diffusion model,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 43a70195-888d-40ef-a277-b0e9f0390ea3 · outbound

This paper cites Generating and sifting pseudolabeled samples for improving the per- formance of remote sensing image scene classification,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Generating and sifting pseudolabeled samples for improving the per- formance of remote sensing image scene classification,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 343b94da-b088-4283-8ecc-8d791cd600d8 · outbound

This paper cites Gligen: Open-set grounded text-to-image generation,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Gligen: Open-set grounded text-to-image generation,

Reference 14

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 397bac10-4216-4e77-93e5-301931595e29 · outbound

This paper cites Layoutdiffusion: Controllable diffusion model for layout-to-image generation,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Layoutdiffusion: Controllable diffusion model for layout-to-image generation,

Reference 15

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Observation 5d7842b2-3867-42e6-80e0-a7f21999ae1c · outbound

This paper cites Reco: Region-controlled text-to-image generation,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Reco: Region-controlled text-to-image generation,

Reference 16

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b6902b8c-44a8-486b-88e0-1dc791d5c75c · outbound

This paper cites Image synthesis from reconfigurable layout and style,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Image synthesis from reconfigurable layout and style,

Reference 17

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Observation 146b751e-6a0c-4bcc-ab3a-c06a0ebb4160 · outbound

This paper cites Uni-controlnet: All-in-one control to text-to-image diffusion models,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Uni-controlnet: All-in-one control to text-to-image diffusion models,

Reference 18

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Observation 8982325f-66da-4741-a81f-4a2f99f09a98 · outbound

This paper cites Controlnet++: Improving conditional controls with efficient consistency feedback,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Controlnet++: Improving conditional controls with efficient consistency feedback,

Reference 19

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation cf7bc837-e61d-490b-bf6c-e2de4298be51 · outbound

This paper cites ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control Systems.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control Systems

Reference 20

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Observation 274cd800-43b7-4ec3-91fd-8ec613908021 · outbound

This paper cites YOLOv3: An Incremental Improvement.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing YOLOv3: An Incremental Improvement

Reference 21

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Observation 50b06c08-859c-45e0-a088-83c756bece01 · outbound

This paper cites Bip-net: Bidirectional perspective strategy based arbitrary-shaped text detection network,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Bip-net: Bidirectional perspective strategy based arbitrary-shaped text detection network,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9a45e61f-a8a4-4c29-adfd-50b9639f0936 · outbound

This paper cites Path aggregation network for instance segmentation,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Path aggregation network for instance segmentation,

Reference 23

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source=pdf_text observed=2026-08-11T12:58:10.427044Z digest=sha256:e34232dc8923330b03a9b199ab7b049e04ce7d4adb69ac1e19c3ee0e367cb548

Observation 6a1a4689-ce5b-4aa4-8e3d-7d7fde9df8ea · outbound

This paper cites Corporate event predictions using large language models,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Corporate event predictions using large language models,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7be38dd4-57fc-44e5-97f3-5a01912ba4f5 · outbound

This paper cites Cornernet: Detecting objects as paired keypoints,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Cornernet: Detecting objects as paired keypoints,

Reference 25

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f235a7db-a80d-469f-81ef-c351ef41267e · outbound

This paper cites Instance mask growing on leaf.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Instance mask growing on leaf

Reference 26

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d98c8819-5fee-4fb0-b0c8-fcab4a2a5b2f · outbound

This paper cites Cross-layer attention network for small object detection in remote sensing imagery,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Cross-layer attention network for small object detection in remote sensing imagery,

Reference 27

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3d87738d-e4f0-4bd2-ae77-4cc140092caf · outbound

This paper cites Superyolo: Super resolution assisted object detection in multimodal remote sensing im- agery,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Superyolo: Super resolution assisted object detection in multimodal remote sensing im- agery,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9b7713b6-b2e7-4cf5-b44e-dbc0bba6eb76 · outbound

This paper cites Building a bridge of bounding box regression between oriented and horizontal object detection in remote sensing images,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Building a bridge of bounding box regression between oriented and horizontal object detection in remote sensing images,

Reference 29

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raw_fallback, observed 2026-08-11T12:58:11.425788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f2a0af6e-cf38-43d3-bb1d-ba8958a702de · outbound

This paper cites Feature alignment fpn for oriented object detection in remote sensing images,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Feature alignment fpn for oriented object detection in remote sensing images,

Reference 30

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raw_fallback, observed 2026-08-11T12:58:11.397493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation da5701aa-ad1b-4d94-8c52-07ddb8424b33 · outbound

This paper cites Tbnet: A texture and boundary-aware network for small weak object detection in remote- sensing imagery,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Tbnet: A texture and boundary-aware network for small weak object detection in remote- sensing imagery,

Reference 31

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raw_fallback, observed 2026-08-11T12:58:11.375501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9c7e423e-d907-4e45-a503-d07216c8db59 · outbound

This paper cites Small object detection in remote sensing images based on super-resolution,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Small object detection in remote sensing images based on super-resolution,

Reference 32

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raw_fallback, observed 2026-08-11T12:58:11.352591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:58:10.484244Z digest=sha256:bdebaf4ef30f976cf1996e71ad4f46416edf6eef1c7549cdb853ed0fa8f83498

Observation 8db93b3c-d87f-4348-9419-03f7b7cc3097 · outbound

This paper cites Feature split–merge–enhancement network for remote sensing object detection,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Feature split–merge–enhancement network for remote sensing object detection,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:58:10.489353Z digest=sha256:dd3f9899750408c939f4636cfb7383fff22ff5468a57241751c94581897fdf29

Observation e7f5197f-96e0-44f3-9913-3bfc5af8ccb2 · outbound

This paper cites An adaptive attention fusion mechanism convolutional network for object detection in remote sensing images,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing An adaptive attention fusion mechanism convolutional network for object detection in remote sensing images,

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:58:10.495807Z digest=sha256:cdab318b9e301722439a518baa37d4d4b55723a4a83d63e6427d37a48425c0c2

Observation 27fc4c90-acbc-405d-81c3-990191afc561 · outbound

This paper cites Attention-based multi-level feature fusion for object detection in remote sensing images,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Attention-based multi-level feature fusion for object detection in remote sensing images,

Reference 35

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raw_fallback, observed 2026-08-11T12:58:11.251721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:58:10.501852Z digest=sha256:d7c28f2501c0d496e8f79ea285dea6c70985091a6855466eef5a15f4c6cf3eec

Observation 13bda782-0b24-428e-ac28-866f28a2f58c · outbound

This paper cites Swin-transformer-enabled yolov5 with atten- tion mechanism for small object detection on satellite images,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Swin-transformer-enabled yolov5 with atten- tion mechanism for small object detection on satellite images,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:58:11.227272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 5ccf8add-7d01-420f-8f72-4161ac57223c · outbound

This paper cites Rotation- aware and multi-scale convolutional neural network for object detection in remote sensing images,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Rotation- aware and multi-scale convolutional neural network for object detection in remote sensing images,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:58:11.200310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 5be5cb0d-7750-4392-93bc-a1fb20193b14 · outbound

This paper cites Dense label encoding for boundary discontinuity free rotation detection,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Dense label encoding for boundary discontinuity free rotation detection,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:58:11.175876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a414c076-5263-425b-98bb-7a2a639c061e · outbound

This paper cites Instance-aware distillation for efficient object detection in remote sensing images,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Instance-aware distillation for efficient object detection in remote sensing images,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:58:12.052350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:58:10.529196Z digest=sha256:c36022fea0a9ca0c43efe41ddb3020fd7c3fa839a2eeada1e68b512e382c30a9

Observation 39d6b436-f654-452b-8c55-26b734075cc8 · outbound

This paper cites YOLO-DA: an efficient yolo- based detector for remote sensing object detection,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing YOLO-DA: an efficient yolo- based detector for remote sensing object detection,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:58:11.144780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 1c4de253-5e7f-4148-b6ad-ae6c40f5ec32 · outbound

This paper cites Fast tiny object detection in large-scale remote sensing images,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Fast tiny object detection in large-scale remote sensing images,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:58:11.123790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:58:10.541039Z digest=sha256:ecc8128719b12a089f98a565a16edcf42ae157b1ede1c181daa8f7620f28ab18

Observation 29a03854-6bcc-4f16-b9ad-eb3ca28eebb7 · outbound

This paper cites Auto-encoding variational bayes,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Auto-encoding variational bayes,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:58:11.087402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7d73f247-a91f-4e6a-b077-9b41f165406c · outbound

This paper cites Vari- ational autoencoder for deep learning of images, labels and captions,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Vari- ational autoencoder for deep learning of images, labels and captions,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:58:11.053005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:58:10.554211Z digest=sha256:d6733e9269756a256b0e400dfe8a5529c6e908bbcbf9ff749cfae0939b35a135

Observation 584a716b-4483-4d9d-8a2c-51fca41b6ff8 · outbound

This paper cites Grammar varia- tional autoencoder,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Grammar varia- tional autoencoder,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:58:11.021122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:58:10.561230Z digest=sha256:4f27b497a8ab8a49e3fc15a1225acae2145040a9b8ab8a66f15244d1b61f90dc

Observation a3da2122-11d0-4949-9df1-dc1202a56a20 · outbound

This paper cites Generative adversarial nets,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Generative adversarial nets,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:58:10.990901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2503f7d1-0ca9-4bfe-b35e-e28b1657f7ed · outbound

This paper cites Coupled generative adversarial networks,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Coupled generative adversarial networks,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:58:10.972533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:58:10.574298Z digest=sha256:6b71cdfa9c1341658ab44e7620c0edd4e1a0b88f765358f05a75bcf675c32d27

Observation c0a37fb6-5541-495a-af86-4447169b3403 · outbound

This paper cites Least squares generative adversarial networks,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Least squares generative adversarial networks,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:58:10.951115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 77ee0bdb-7c68-4cfa-9645-9684aa549c98 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T12:58:10.587375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:58:10.587375Z digest=sha256:29d859a2cfdf38b4004e301dc4759a785845393bd86db279b899bd8b46b98d09

Observation cce659b6-7f48-4d41-83f9-7765967c7acb · outbound

This paper cites Singan: Learning a generative model from a single natural image,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Singan: Learning a generative model from a single natural image,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:58:10.918383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:58:10.594051Z digest=sha256:f5c48406779a564eb24f5e2ac9971a237328b8c4df4bbb6747a0f989712395a8

Observation 877b301d-e95f-4207-81f2-608950d6a3c4 · outbound

This paper cites Remote sensing data augmentation through adversarial training,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Remote sensing data augmentation through adversarial training,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:58:10.897458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:58:10.605457Z digest=sha256:16189f6049f6e4cf8464bc1609dda760a9c70308f8d91051b4f00e7cd93c0bf5

Observation 63850ef0-db64-426b-bb04-400321b7fd66 · outbound

This paper cites Rsdiff: Remote sensing image generation from text using diffusion model,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Rsdiff: Remote sensing image generation from text using diffusion model,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:58:10.866270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0e1f5242-48d2-461a-adcf-d6649c2134f6 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Learning transferable visual models from natural language supervi- sion,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:58:10.835509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:58:10.628579Z digest=sha256:8253dbca4a9e07d9b1286cf71f24aff8cbfbba840fc0cd0ec6a23a688679f394

Observation 7289f896-41d4-48be-bc99-0aaf9dbb8afa · outbound

This paper cites Taming transformers for high- resolution image synthesis,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Taming transformers for high- resolution image synthesis,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:58:10.807441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:58:10.637562Z digest=sha256:ed40c9c09f2cdfae4eca60b1c8806bbe812271f5c65e66efd52b3b893aaeec18

Observation 7be863f2-63eb-4c08-9690-5dd7cf824649 · outbound

This paper cites Anchor- free oriented proposal generator for object detection,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Anchor- free oriented proposal generator for object detection,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:58:10.787449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:58:10.644247Z digest=sha256:313f5963c8c376dba0c3bd32ef1bc266aae420f5214f00d17fdb8946a39d4605

Observation 82e833e5-5b62-4a80-9e46-d2e68a40b2f4 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:58:10.766915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T12:58:10.649578Z digest=sha256:53d0e79f9e3c6eb43505a385a3b09879cfb3e4433ae72b323116461a274b29a5

Pith citing papers

No inbound Pith citation observations are available.