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Paper Citation Record · LEDGER

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios

As of 6 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2606.30408.

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

pith.paper-citation-record.v1
2606.30408 v1

Coverage vector

measured 52 of 52 reference resolution

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

52 of 52 outbound references displayed

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Outbound references

Observation 20a4b3b6-f32e-44c3-9a33-fb5fe091b5ec · outbound

This paper cites Fast georeferenced aerial image stitching with absolute rotation averaging and planar- restricted pose graph,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Fast georeferenced aerial image stitching with absolute rotation averaging and planar- restricted pose graph,

Reference 1

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Observation 76cdd65d-5aeb-4aa3-82be-9d26921488d2 · outbound

This paper cites Seam-adaptive structure-preserving image stitching for drone images,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Seam-adaptive structure-preserving image stitching for drone images,

Reference 2

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Observation a935b958-bb91-46df-8d07-0350ec7bf8b1 · outbound

This paper cites Megastitch: Robust large-scale image stitching,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Megastitch: Robust large-scale image stitching,

Reference 3

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Observation e0b3af48-9bde-489c-af79-d07b5a9e8a3a · outbound

This paper cites Multimodal image fusion framework for end-to-end remote sensing image registration,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Multimodal image fusion framework for end-to-end remote sensing image registration,

Reference 4

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Observation ef078a40-e2a1-4a75-a708-3d243e06d6d7 · outbound

This paper cites Uncertainty guided deep lucas-kanade homography for multimodal im- age alignment,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Uncertainty guided deep lucas-kanade homography for multimodal im- age alignment,

Reference 5

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Observation b3f312db-144d-4377-8f6c-2b43bf1f4402 · outbound

This paper cites Rcvs: A unified registration and fusion framework for video streams,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Rcvs: A unified registration and fusion framework for video streams,

Reference 6

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Observation bf93a2d1-4f9d-4f9b-94ab-c86fb95f90a4 · outbound

This paper cites An integrated inter-frame stabilization and fast imaging method for video synthetic aperture radar,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios An integrated inter-frame stabilization and fast imaging method for video synthetic aperture radar,

Reference 7

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Observation 631617d3-364a-46f1-98ab-7b41106d440e · outbound

This paper cites Cinematic- l1 video stabilization with a log-homography model,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Cinematic- l1 video stabilization with a log-homography model,

Reference 8

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Observation 89b7cb11-a970-45ce-900f-79fbfdf1db8f · outbound

This paper cites Dut: Learning video stabilization by simply watching unstable videos,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Dut: Learning video stabilization by simply watching unstable videos,

Reference 9

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Observation da1328fa-0938-4928-b2ff-946ff1d1f625 · outbound

This paper cites Homography decomposition networks for planar object tracking,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Homography decomposition networks for planar object tracking,

Reference 10

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Observation ebd8fb4c-7424-46b3-8695-182ac6009771 · outbound

This paper cites Smalltrack: Wavelet pooling and graph enhanced classification for uav small object tracking,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Smalltrack: Wavelet pooling and graph enhanced classification for uav small object tracking,

Reference 11

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Observation da7e4a31-2ba0-4327-a6f3-52817af792d2 · outbound

This paper cites Aerial image registration for track- ing,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Aerial image registration for track- ing,

Reference 12

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Observation 7d8fcf9e-4138-43e8-90a6-774fe7d1e52b · outbound

This paper cites Deep Image Homography Estimation.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Deep Image Homography Estimation

Reference 13

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Observation 4e321cbf-b427-4f92-8ff4-474e8114bfa6 · outbound

This paper cites Homography estimation from image pairs with hierarchical convolutional networks,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Homography estimation from image pairs with hierarchical convolutional networks,

Reference 14

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Observation a6594810-9209-4a13-a5dd-4a0a168e6166 · outbound

This paper cites Stn-homography: Direct estimation of homography parameters for image pairs,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Stn-homography: Direct estimation of homography parameters for image pairs,

Reference 15

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Observation f726f167-0ff3-4a52-8d99-ddf456f13c1b · outbound

This paper cites Clkn: Cascaded lucas- kanade networks for image alignment,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Clkn: Cascaded lucas- kanade networks for image alignment,

Reference 16

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Observation cc3866af-aec4-49e7-86c7-d202328cd4bb · outbound

This paper cites Deep lucas-kanade homography for multimodal image alignment,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Deep lucas-kanade homography for multimodal image alignment,

Reference 17

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Observation 17f36dff-57e3-40c4-85f5-ebbb8e1e6774 · outbound

This paper cites Image stitching via deep homography estimation,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Image stitching via deep homography estimation,

Reference 18

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Observation 72e2bfd9-edd2-4994-8430-f660541549f4 · outbound

This paper cites Iterative deep homography estimation,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Iterative deep homography estimation,

Reference 19

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Observation 1fefd0f3-d8b4-49d5-9bed-2efbf06c43d2 · outbound

This paper cites Recurrent homography estimation using homography-guided image warping and focus transformer,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Recurrent homography estimation using homography-guided image warping and focus transformer,

Reference 20

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Observation e4da6b4d-3ee8-4d37-8891-d482960c2b47 · outbound

This paper cites Mcnet: Rethinking the core ingredients for accurate and efficient homography estimation,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Mcnet: Rethinking the core ingredients for accurate and efficient homography estimation,

Reference 21

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Observation 8bdd9471-ab80-4152-a824-d7829f1c09c6 · outbound

This paper cites Adapting dense matching for homography estimation with grid-based acceleration,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Adapting dense matching for homography estimation with grid-based acceleration,

Reference 22

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Observation ae904755-a6e2-459a-9d40-e8b4c53c068c · outbound

This paper cites Deep homography estimation for dynamic scenes,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Deep homography estimation for dynamic scenes,

Reference 23

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Observation dd65852d-8b31-4171-bfe1-d2bff4ad5cbd · outbound

This paper cites Localtrans: A multiscale local transformer network for cross-resolution homography estimation,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Localtrans: A multiscale local transformer network for cross-resolution homography estimation,

Reference 24

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Observation 5c996b3b-0cff-48df-bb91-9f6545fd106b · outbound

This paper cites Microsoft coco: Common objects in context,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Microsoft coco: Common objects in context,

Reference 25

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Observation a1eea9f1-cbfd-44da-8bd3-d60e79018fd6 · outbound

This paper cites Multi-spectral sift for scene category recognition,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Multi-spectral sift for scene category recognition,

Reference 26

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Observation 64d1a4d1-93c8-479b-9f4b-e49f36381d47 · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,

Reference 27

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Observation 14a9a91d-a54a-4fa4-9e80-c86a87dd708c · outbound

This paper cites Landsat-8: Science and product vision for terrestrial global change research,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Landsat-8: Science and product vision for terrestrial global change research,

Reference 28

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Observation fc3e4e39-07f1-4145-b32a-50be7a1b13e3 · outbound

This paper cites Distinctive image features from scale-invariant keypoints,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Distinctive image features from scale-invariant keypoints,

Reference 29

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Observation 800b7507-e779-4bd2-b1c6-0e66685b28be · outbound

This paper cites Surf: Speeded up robust features,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Surf: Speeded up robust features,

Reference 30

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Observation 0fc38e73-7b88-462c-b833-8cad259d3963 · outbound

This paper cites Orb: An efficient alternative to sift or surf,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Orb: An efficient alternative to sift or surf,

Reference 31

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Observation 555bfecc-7953-455a-bb72-99a125337cc3 · outbound

This paper cites Superpoint: Self- supervised interest point detection and description,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Superpoint: Self- supervised interest point detection and description,

Reference 32

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Observation 8e170bdd-d6b3-48c9-a3fa-ed8111b10628 · outbound

This paper cites Sosnet: Second order similarity regularization for local descriptor learning,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Sosnet: Second order similarity regularization for local descriptor learning,

Reference 33

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This paper cites D2-net: A trainable cnn for joint description and detection of local features,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios D2-net: A trainable cnn for joint description and detection of local features,

Reference 34

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Observation 8801250d-fbb9-4be4-8508-9ae0ca23e1f1 · outbound

This paper cites Loftr: Detector- free local feature matching with transformers,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Loftr: Detector- free local feature matching with transformers,

Reference 35

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SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Efficient loftr: Semi- dense local feature matching with sparse-like speed,

Reference 36

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This paper cites Robust regression using itera- tively reweighted least-squares,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Robust regression using itera- tively reweighted least-squares,

Reference 37

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Observation 428ccb0e-d107-4c57-94cc-4ba9aeba25d2 · outbound

This paper cites Magsac: marginalizing sample consensus,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Magsac: marginalizing sample consensus,

Reference 38

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Observation 17a55464-62cc-49d5-88ec-8baab8c9671e · outbound

This paper cites Multiple view geometry in computer vision,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Multiple view geometry in computer vision,

Reference 39

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Observation c2e9811f-637b-4725-8a1b-d57073d3119c · outbound

This paper cites Codinghomo: Bootstrapping deep homography with video coding,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Codinghomo: Bootstrapping deep homography with video coding,

Reference 40

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Observation fec9d99f-69c2-4c29-85a5-d42412d5a0a4 · outbound

This paper cites Crosshomo: Cross- modality and cross-resolution homography estimation,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Crosshomo: Cross- modality and cross-resolution homography estimation,

Reference 41

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Observation 3f4d8bbf-a53e-45e4-9e88-882dfea6e9cc · outbound

This paper cites Roma: Robust dense feature matching,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Roma: Robust dense feature matching,

Reference 42

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Observation 2e6b9bcb-da18-46b5-bfa8-66993663252e · outbound

This paper cites P2wnet: Homography estimation for part-to-whole and cross-modality scenarios,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios P2wnet: Homography estimation for part-to-whole and cross-modality scenarios,

Reference 43

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Observation b1d1e5b9-3107-4c1d-9ba5-99dfc09f05e8 · outbound

This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Transformers are rnns: Fast autoregressive transformers with linear attention,

Reference 44

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Observation 46a2b346-9564-44ee-9bf0-d9fbda53d5dc · outbound

This paper cites EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense Prediction.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense Prediction

Reference 45

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arxiv_id, observed 2026-06-30T08:24:27.037153Z

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Observation 1ec2428c-7f27-45fd-a3a1-22689294214a · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 46

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local_arxiv, observed 2026-06-30T08:24:27.033841Z

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Observation a7ccde4e-0a66-4b3f-a009-aed415cec958 · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Sinkhorn distances: Lightspeed computation of optimal transport,

Reference 47

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Observation 206c6a15-e154-46ea-9206-cfef93e24e8a · outbound

This paper cites Siamcorners: Siamese corner networks for visual tracking,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Siamcorners: Siamese corner networks for visual tracking,

Reference 48

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Observation c77b51c6-88d5-4d99-afe1-80e499b4a348 · outbound

This paper cites Focal loss for dense object detection,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Focal loss for dense object detection,

Reference 49

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source=pdf_text observed=2026-06-30T06:05:26.611338Z digest=sha256:c3428eee7997ffa90a0794c583f2ba61b5b5c14509c0a09d864926d60e70c75b

Observation 8cc2d639-7cc0-4bcd-b041-10a3dd5f4a28 · outbound

This paper cites Generalized intersection over union: A metric and a loss for bounding box regression,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Generalized intersection over union: A metric and a loss for bounding box regression,

Reference 50

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Observation add30c29-f0c0-4953-907c-8066f5a8c614 · outbound

This paper cites Drone-based rgb-infrared cross- modality vehicle detection via uncertainty-aware learning,.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Drone-based rgb-infrared cross- modality vehicle detection via uncertainty-aware learning,

Reference 51

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Observation 55fd963b-ea6d-4faa-b09b-d3f787d16657 · outbound

This paper cites Decoupled Weight Decay Regularization.

SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios Decoupled Weight Decay Regularization

Reference 52

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local_arxiv, observed 2026-06-30T08:24:27.028832Z

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