Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:41:59.182831Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 100 of 255 outbound references and 1 inbound Pith citation observation for arXiv:2506.04619.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:41:59.182831Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-10T16:48:18.712201Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T08:11:00.536497Z
100 of 255 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 47faef8b-b794-4887-8de5-5e38ccee7647 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Image retrieval: Ideas, influences, and trends of the new age,
Reference 1
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Observation 2de84568-a3dd-4b90-a82e-245ce7917552 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Benchmarking 6dof outdoor visual localization in changing conditions,
Reference 2
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Observation 780fbb8c-4805-4767-8578-81c3ce0f875e · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Hartley and A
Reference 3
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Observation 1b96df20-d869-4a05-852c-a6147fd9bbd7 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Global structure-from-motion revisited,
Reference 4
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Observation cf2bb524-02b9-40d4-9a37-ed23da676e90 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Lsd-slam: Large-scale direct monocular slam,
Reference 5
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Observation 8bcd6bba-1e17-44f5-9f30-0da0d727b8d9 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook 3d gaussian splatting for real-time radiance field rendering
Reference 6
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Observation 57ecd17f-f2e7-4577-bfca-ba94e06f90a3 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Cooperative computation of stereo disparity: A cooperative algorithm is derived for extracting dis- parity information from stereo image pairs
Reference 7
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Observation f41af73f-f3ec-45df-b78c-e7579a197ffa · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Scene analysis using regions,
Reference 8
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Observation 873fb83c-2823-4425-91a2-5db0e898d805 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Adaptive least squares correlation: a powerful image matching technique,
Reference 9
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Observation a2590e77-e63d-49f3-96e3-36c2dd8e2bf3 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Rover visual obstacle avoidance
Reference 10
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Observation 81e29581-2711-4ebf-be0e-6710410d7059 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Interesting interest points: A comparative study of interest point perfor- mance on a unique data set,
Reference 11
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Observation c10d3a33-ca43-4142-8a54-4706bbed48e4 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Comparative evaluation of binary features,
Reference 12
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Observation 438786c9-4608-4343-9066-a9f68464f863 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Performance compar- isons of contour-based corner detectors,
Reference 13
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Observation 9c2da590-e153-4814-8345-5d83181b2804 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Hpatches: A benchmark and evaluation of handcrafted and learned local descriptors,
Reference 14
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Observation e0f80b48-7472-4392-a29b-29e13602876e · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Comparative evaluation of hand-crafted and learned local fea- tures,
Reference 15
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Observation 6ef94600-8be4-44bf-ab3b-c899ad115160 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Image registration methods: a survey,
Reference 16
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Observation 2356f827-f5a1-4f75-aae2-a937634cbf31 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Image matching from handcrafted to deep features: A survey,
Reference 17
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Observation 7f1a80b0-3a36-4574-b3ae-0508c04c4bda · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Local feature matching using deep learning: A survey,
Reference 18
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Observation 5c9b5ef6-7823-498c-9250-af41b22d7458 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Local feature matching from detector-based to detector- free: a survey,
Reference 19
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Observation e001bba9-a07b-4640-89df-1df9549fc82c · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Learning to find good correspondences,
Reference 20
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Observation 8e4a3784-7359-4949-abc1-46072a7a96d4 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Superpoint: Self- supervised interest point detection and description,
Reference 21
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Observation 5184f945-47e8-4ffc-9cf7-40d458b0d10e · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Pdc-net+: Enhanced probabilistic dense correspondence network,
Reference 22
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Observation fd2cfc6d-b84c-4366-bf0b-488bd3d61a00 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook From coarse to fine: Robust hierarchical localization at large scale,
Reference 23
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Observation f56316af-64f1-4b76-aa7f-c229b362db62 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Distinctive image features from scale-invariant keypoints,
Reference 24
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Observation 1e9c594a-3b31-4ef1-b1e2-ed0858263e5e · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Orb: An efficient alternative to sift or surf,
Reference 25
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Observation d46bca2f-fb2b-41f4-a468-9b1f83de6745 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Robust wide- baseline stereo from maximally stable extremal regions,
Reference 26
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Observation fa8c162b-f040-4c87-81a8-d96b34d74b33 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook A performance evaluation of local descriptors,
Reference 27
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Observation 0bffb3e9-2f1a-424a-8de4-80ef8b4833df · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Object recognition from local scale-invariant fea- tures,
Reference 28
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Observation 9cfbe184-af58-4781-88c2-4d6a46d257f3 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook A combined corner and edge detec- tor,
Reference 29
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Observation de233d41-2eb7-4891-9578-9e1fedd54fe1 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Robust point matching via vector field consensus,
Reference 30
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Observation 8d6b0358-907a-40dc-a588-0c725c4542eb · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Gms: Grid-based motion statistics for fast, ultra- robust feature correspondence,
Reference 31
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Observation cb7e2590-c2b3-48f7-8360-837ecce6c861 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook The development and comparison of robust methods for estimating the fundamental matrix,
Reference 32
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Observation db16220c-5864-4e0b-b90c-9dafd3c7c49d · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,
Reference 33
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Observation 19a43b7e-545a-4f11-bcf5-9ae1c265f3ff · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Usac: A universal framework for random sample consensus,
Reference 34
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Observation e9ba26dc-31b7-41a2-addf-883cc5fb0665 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Magsac++, a fast, reliable and accurate robust estimator,
Reference 35
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Observation 91c6d4cb-c0b4-4c69-b1dc-b754f0762955 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Fast corner detection,
Reference 36
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Observation 2ab690f2-722c-499a-bc78-5f49301f0dc8 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Learning an interest operator from human eye movements,
Reference 37
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Observation 3128f540-79ea-4755-927c-40f653247880 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Faster and better: A machine learning approach to corner detection,
Reference 38
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Observation 2e301e38-7de5-4767-a946-9f5a06110095 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Predicting match- ability,
Reference 39
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Observation 113470db-e62f-40a7-8d7e-8a0b080dd10e · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook A survey of convo- lutional neural networks: analysis, applications, and prospects,
Reference 40
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Observation 58005a51-4e89-44e7-8752-998740f49781 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Learning convolutional filters for interest point detection,
Reference 41
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Observation c4135590-0ee6-452c-8eb1-4f1fcbc2626d · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Tilde: A temporally invariant learned detector,
Reference 42
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Observation 0d9e09de-ebb3-4a18-aeb5-d104ace4361a · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Toward Geometric Deep SLAM
Reference 43
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Observation a824d9fa-a0fa-492a-9803-3636f4452743 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Learning covariant feature detectors,
Reference 44
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Observation 54168586-8b48-4292-9bf6-6fa0012d42f3 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Learning dis- criminative and transformation covariant local feature detectors,
Reference 45
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Observation 5d8034fb-c945-4808-80c0-3454cbf82960 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Key. net: Keypoint detection by handcrafted and learned cnn filters,
Reference 46
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Observation a98c8361-3361-408c-869b-460de68e1bfa · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Key. net: Keypoint detection by handcrafted and learned cnn filters revisited,
Reference 47
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Observation 1f32ae33-3ec7-48b0-868d-acb7934ead4c · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Ness-st: Detecting good and stable keypoints with a neural stability score and the shi- tomasi detector,
Reference 48
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Observation b8486998-9d5c-45f7-9e3c-5d446a46bc25 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Good features to track,
Reference 49
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Observation f83a4f59-f7d1-47b5-a8b9-e74206237cfc · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Self-supervised equivariant learning for oriented keypoint detection,
Reference 50
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Observation 79aad1ed-c2ae-44fb-8eac-7d053deb5776 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Scale-free image keypoints using differentiable persistent homology,
Reference 51
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Observation 35853189-4376-4741-9d52-16a2922f5a3b · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Pca-sift: A more distinctive representa- tion for local image descriptors,
Reference 52
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Observation a64fe207-b727-4127-a47c-7d0fa175d0d3 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Learning linear discrimi- nant projections for dimensionality reduction of image descrip- tors,
Reference 53
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Observation 28f20a07-a35d-4a29-abc2-0dfad3c99773 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Discriminative learning of local image descriptors,
Reference 54
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Observation 7e656725-de95-4347-a205-78c323c78ed6 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Discriminant embedding for local image descriptors,
Reference 55
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Observation e5bcab79-10a3-482c-92a5-4ad8c7bd1a4b · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Learning local image descriptors,
Reference 56
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Observation a4ba30c4-f96b-4cb8-be8d-157c94c06251 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Ldahash: Im- proved matching with smaller descriptors,
Reference 57
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Observation 8c0b86ae-0090-4cd6-9d94-22c8c51a766c · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Boosting binary keypoint descriptors,
Reference 58
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Observation 4b798587-2329-4d99-a9f9-33027454fc0e · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Learning local feature descriptors using convex optimisation,
Reference 59
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Observation 24d837b4-ccd1-4be8-9afa-2fe1264ab2a4 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Signa- ture verification using a
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Observation 4aa74818-6094-4f64-88c5-6bd2ebbfcd73 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Learning to compare image patches via convolutional neural networks,
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Observation 7416d370-f243-4ba3-ac31-c1acce4d73de · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Match- net: Unifying feature and metric learning for patch-based match- ing,
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Observation bb27c1fd-6cc3-4215-b003-a6886e1950a7 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Discriminative learning of deep convolu- tional feature point descriptors,
Reference 63
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Observation 8b4d7e8a-16af-42cc-a6ab-783affd66b2e · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Learning spread- out local feature descriptors,
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Observation 89e2a4c9-4a31-49da-8015-aae551053dee · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Learning local feature descriptors with triplets and shallow convolutional neural networks,
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Observation 14b8c216-767d-4c50-a54d-5fe934b06ab4 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Learning local image de- scriptors with deep siamese and triplet convolutional networks by minimising global loss functions,
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Observation be7f4044-3ed5-4e5b-8015-de98d5136452 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook L2-net: Deep learning of discrimi- native patch descriptor in euclidean space,
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Observation 97106083-1dee-4ab8-8b5f-0bb5a306eed2 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Working hard to know your neighbor’s margins: Local descriptor learning loss,
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Observation 7792e628-8b60-4ab3-8952-fa2800fa5bde · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Sosnet: Second order similarity regularization for local descriptor learn- ing,
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Observation eff1df54-95d5-4a82-89cc-c0002bf4f807 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Hynet: Learning local descriptor with hybrid similarity measure and triplet loss,
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Observation e464207f-d79b-490e-bb98-6c8c2149c62c · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Local descriptors optimized for average precision,
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Observation 1e1f94b3-b2d3-41ab-a72c-9fb1aa2595e8 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Geodesc: Learning local descriptors by integrating geometry constraints,
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Observation a796a915-9eaf-410c-9b72-bbcdd531f2bc · outbound
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Reference 73
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Observation a4bfc440-52a2-482f-b0a7-6f64a75e5964 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Steerers: A framework for rotation equivariant keypoint descriptors,
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Observation f218a87a-54f8-4bef-a39a-a73dc5a1f5e3 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Contextdesc: Local descriptor augmentation with cross-modality context,
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Observation 374f4437-46cc-4f36-9377-565bc943b0ba · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Repeatability is not enough: Learning affine regions via discriminability,
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Observation 57a0eee9-a54f-4b64-a9f6-7b9c347d244c · outbound
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Observation 30cd9595-2599-45a4-a440-4e840201dab5 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Gift: Learning transformation-invariant dense visual descriptors via group cnns,
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Observation 41f700a0-a880-405d-99b8-54ffac5e4667 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Group equivariant convolutional networks,
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Observation d7a427a9-ffea-4aca-b155-f5826fb150e5 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Learning rotation- equivariant features for visual correspondence,
Reference 81
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Observation 81f28d2b-540d-41b9-b92f-9150d67ed7e0 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook General e (2)-equivariant steerable cnns,
Reference 82
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Observation 06024696-e48a-4207-bbde-b689899279fe · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Online invariance selection for local feature descriptors,
Reference 83
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Observation 95bc70fc-8287-4e1b-abc2-a9ee4e9983f0 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Lift: Learned invariant feature transform,
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Observation 76f8d2b0-b97e-4862-aa95-89e6a3cd051d · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Lf-net: Learning local features from images,
Reference 85
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Observation b34065bb-15bf-4a2c-8eae-e6b18c53a974 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Spatial trans- former networks,
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Observation d56f3cc0-0a30-4c61-be15-8c4e004c0ffd · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Rf-net: An end-to-end image matching network based on receptive field,
Reference 87
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Observation 604ce004-4b62-4216-ac57-2dd5c53e0457 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Alike: Accurate and lightweight keypoint detection and descriptor ex- traction,
Reference 88
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Observation 98da2217-5fba-4dc3-b7b2-fef9e5b588eb · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Aliked: A lighter keypoint and descriptor extraction network via de- formable transformation,
Reference 89
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Observation 00b88aaf-6518-4814-8ce9-3c302409c9b0 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook D2-net: A trainable cnn for joint description and detection of local features,
Reference 90
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Observation de49091b-f8a4-4f6d-abce-bb0782b4d28d · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Aslfeat: Learning local features of accurate shape and localization,
Reference 91
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Observation 1ae68cfc-386a-470e-8c2e-73f7fc9fea82 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Deformable convolutional networks,
Reference 92
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Observation 0405ec94-cf10-47d8-a6ef-cbe2dcf44379 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Redfeat: Recoupling detection and descrip- tion for multimodal feature learning,
Reference 93
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Observation 0e866707-ec40-4c62-9c15-7741e2632dfe · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Disk: Learning local features with policy gradient,
Reference 94
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Observation 44abb765-7779-48c4-bdf9-d8f07515a222 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Unresolved cited work
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Observation 32abecd5-b64d-4ad9-a572-c87d38dc01ae · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook R2d2: Reliable and repeatable detector and descriptor,
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Observation 6a2ef09e-44a8-45d7-b51d-9c55de7b9053 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Sfd2: Semantic-guided fea- ture detection and description,
Reference 97
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Observation 62f8136a-668a-4dcf-acb6-94f624290c0e · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Dedode: Detect, don’t describe—describe, don’t detect for local feature matching,
Reference 98
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Observation 9d9c2faa-7ae0-4d0b-8b5c-5e8ce0f97fab · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Dedode v2: Analyzing and improving the dedode keypoint detector,
Reference 99
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Observation 16954e73-11dd-4404-b31b-306e79d9a664 · outbound
Deep Learning Reforms Image Matching: A Survey and Outlook Xfeat: Accelerated features for lightweight image matching,
Reference 100
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Observation 49f0bbd3-9bea-43e6-a194-7629d3dff55f · inbound
MatRes: Zero-Shot Test-Time Model Adaptation for Simultaneous Matching and Restoration Deep Learning Reforms Image Matching: A Survey and Outlook
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.