Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives | Paper Citation Record

Observation c42ed459-c1fc-4b19-ae51-2fdf0dac50a1 · outbound

This paper cites Deep non-rigid structure from motion with missing data,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Deep non-rigid structure from motion with missing data,

Reference 1

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Observation 009ab42b-30fb-450f-9fa6-0aa1e847fa2a · outbound

This paper cites InLoc: Indoor visual localization with dense matching and view synthesis,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives InLoc: Indoor visual localization with dense matching and view synthesis,

Reference 2

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Observation 57a00785-7d51-4847-9456-722a4eb41ca5 · outbound

This paper cites Linear RGB-D SLAM for structured environments,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Linear RGB-D SLAM for structured environments,

Reference 3

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Observation 1e2bcdbe-47b2-4584-a407-a6bafb93e7d0 · outbound

This paper cites SuperGlue: Learning feature matching with graph neural networks,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives SuperGlue: Learning feature matching with graph neural networks,

Reference 4

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Observation 3a1981f8-158c-45bf-89b1-22908efd71d7 · outbound

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

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives LoFTR: Detector-free local feature matching with transformers,

Reference 5

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Observation 1228c833-7a44-4c72-b0d9-589623350e06 · outbound

This paper cites Jamma: Ultra-lightweight local feature matching with joint mamba,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Jamma: Ultra-lightweight local feature matching with joint mamba,

Reference 6

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Observation 13dfc38d-a7e1-4c7f-869c-adf6213dc65a · outbound

This paper cites MambaGlue: Fast and robust local feature matching with mamba,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives MambaGlue: Fast and robust local feature matching with mamba,

Reference 7

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Observation 7aa018fc-f4fb-4d06-9097-6e9a3b4c2bb6 · outbound

This paper cites LightGlue: Local feature matching at light speed,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives LightGlue: Local feature matching at light speed,

Reference 8

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Observation 1028f353-df54-4915-8abf-64e06233961c · outbound

This paper cites OmniGlue: Generalizable feature matching with foundation model guidance,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives OmniGlue: Generalizable feature matching with foundation model guidance,

Reference 9

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Observation 2e8ad8f9-fe33-4caf-b602-7ae7f63605f3 · outbound

This paper cites Roma: Robust dense feature matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Roma: Robust dense feature matching,

Reference 10

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Observation 45061f44-5862-4bd7-996d-6a3cc113d9d8 · outbound

This paper cites Grounding image matching in 3D with MASt3R,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Grounding image matching in 3D with MASt3R,

Reference 11

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Observation 91c1235c-be19-4848-962d-81da52add4be · outbound

This paper cites VGGT: Visual geometry grounded transformer,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives VGGT: Visual geometry grounded transformer,

Reference 12

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Observation 030f509b-72d9-48d6-a566-d91d753c1be2 · outbound

This paper cites Image matching from handcrafted to deep features: A survey,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Image matching from handcrafted to deep features: A survey,

Reference 13

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Observation db37cb3d-b444-4071-894d-dbf16f79638a · outbound

This paper cites A survey of feature matching methods,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives A survey of feature matching methods,

Reference 14

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Observation 220f5a4c-358e-4e84-be1b-d5c560800330 · outbound

This paper cites A review of multimodal image matching: Methods and applications,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives A review of multimodal image matching: Methods and applications,

Reference 15

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Observation a9688bf8-5f9a-489b-96fd-1eb12507c55f · outbound

This paper cites A combined corner and edge detector,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives A combined corner and edge detector,

Reference 16

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Observation 50bd8727-55bc-436f-90cd-7af9e5e7a524 · outbound

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

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Distinctive image features from scale-invariant key- points,

Reference 17

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Observation 7b8c09db-6faa-4b08-935c-31d62213a726 · outbound

This paper cites SURF: Speeded up robust features,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives SURF: Speeded up robust features,

Reference 18

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Observation b8776477-de37-4175-85d0-5a5159281b76 · outbound

This paper cites Robust wide-baseline stereo from maximally stable extremal regions,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Robust wide-baseline stereo from maximally stable extremal regions,

Reference 19

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Observation 164d7db5-0244-4011-9849-cf948d8dff5f · outbound

This paper cites Machine learning for high-speed corner detection,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Machine learning for high-speed corner detection,

Reference 20

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Observation 57f18509-8b21-45c6-b3d9-d2a19978031d · outbound

This paper cites Adaptive and generic corner detection based on the accelerated segment test,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Adaptive and generic corner detection based on the accelerated segment test,

Reference 21

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Observation 1faa76a9-1a23-41db-8bb4-3bab77ae407a · outbound

This paper cites KAZE features,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives KAZE features,

Reference 22

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Observation fb1a6afd-04d1-4b97-8ec0-bf3706d3cf99 · outbound

This paper cites Fast explicit diffusion for accelerated features in nonlinear scale spaces,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Fast explicit diffusion for accelerated features in nonlinear scale spaces,

Reference 23

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Observation 6b786e08-8590-4019-a17f-cd4641543b86 · outbound

This paper cites BRISK: Binary robust invariant scalable keypoints,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives BRISK: Binary robust invariant scalable keypoints,

Reference 24

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Observation fe3c829f-70dc-43b6-9747-31885cddaeb0 · outbound

This paper cites LIFT: Learned invariant feature transform,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives LIFT: Learned invariant feature transform,

Reference 25

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Observation 0cc13644-329b-48cd-9194-3adc958bbada · outbound

This paper cites TILDE: A temporally invariant learned detector,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives TILDE: A temporally invariant learned detector,

Reference 26

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Observation 8516ef24-9664-40d6-862a-1a02cee8339c · outbound

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

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives SuperPoint: Self- supervised interest point detection and description,

Reference 27

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Observation bd861afc-b576-439b-befe-c32c216f7912 · outbound

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

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives D2-Net: A trainable CNN for joint description and detection of local features,

Reference 28

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Observation 25e9d22d-69ac-4716-9953-a08de71d5264 · outbound

This paper cites R2D2: Reliable and repeatable detector and descriptor,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives R2D2: Reliable and repeatable detector and descriptor,

Reference 29

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Observation 8aef27b8-85d2-4a6a-b0cb-78302be304e2 · outbound

This paper cites Key.Net: Keypoint detection by handcrafted and learned CNN filters,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Key.Net: Keypoint detection by handcrafted and learned CNN filters,

Reference 30

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Observation d2549af7-6286-419b-9eb5-8be281575c99 · outbound

This paper cites Key.Net: Keypoint detection by handcrafted and learned CNN filters revisited,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Key.Net: Keypoint detection by handcrafted and learned CNN filters revisited,

Reference 31

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Observation caab876a-cfc5-4083-af33-1c60545128c4 · outbound

This paper cites ALIKE: Accurate and lightweight keypoint detection and descriptor extraction,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives ALIKE: Accurate and lightweight keypoint detection and descriptor extraction,

Reference 32

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Observation 86549d0d-cdc3-43f1-9aa8-b46a2d0d5b85 · outbound

This paper cites Quad- Networks: Unsupervised learning to rank for interest point detection,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Quad- Networks: Unsupervised learning to rank for interest point detection,

Reference 33

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Observation 564c32f7-9f07-453c-85de-b08a14c9649d · outbound

This paper cites Disk: Learning local fea- tures with policy gradient,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Disk: Learning local fea- tures with policy gradient,

Reference 34

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Observation a30033f3-7854-4bb1-bf89-1ba27ef1f504 · outbound

This paper cites Dedode v2: Analyzing and improving the dedode keypoint detector,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Dedode v2: Analyzing and improving the dedode keypoint detector,

Reference 35

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Observation 5e4442ff-e476-4435-a677-e9c452c0068b · outbound

This paper cites DaD: Distilled Reinforcement Learning for Diverse Keypoint Detection.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives DaD: Distilled Reinforcement Learning for Diverse Keypoint Detection

Reference 36

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Observation 073b3d11-8635-4739-a17b-ad066e88e57d · outbound

This paper cites PCA-SIFT: a more distinctive representation for local image descriptors,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives PCA-SIFT: a more distinctive representation for local image descriptors,

Reference 37

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Observation c7b6f2c1-5a96-4527-b10f-618cc532a69c · outbound

This paper cites A performance evaluation of local descriptors,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives A performance evaluation of local descriptors,

Reference 38

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Observation dcb8260e-dec5-4545-8a48-2ed0736a9f1f · outbound

This paper cites BRIEF: Binary robust independent elementary features,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives BRIEF: Binary robust independent elementary features,

Reference 39

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Observation 020054b6-dca8-4954-9dd1-b89e532b4aaa · outbound

This paper cites FREAK: Fast retina key- point,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives FREAK: Fast retina key- point,

Reference 40

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Observation 32ba067b-5d8d-4010-b48d-0e5e76d8199e · outbound

This paper cites Local intensity order pattern for feature description,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Local intensity order pattern for feature description,

Reference 41

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Observation 4bb60a09-558c-4f04-a8bb-4a6e15679ba8 · outbound

This paper cites Rethinking the sGLOH descriptor,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Rethinking the sGLOH descriptor,

Reference 42

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Observation 31cdc2e2-4404-43d1-9664-b23341ebdc1e · outbound

This paper cites Discriminative learning of deep convolutional feature point descriptors,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Discriminative learning of deep convolutional feature point descriptors,

Reference 43

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Observation 0488c566-e872-4596-96c8-78173def4660 · outbound

This paper cites L2-Net: Deep learning of discrimina- tive patch descriptor in Euclidean space,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives L2-Net: Deep learning of discrimina- tive patch descriptor in Euclidean space,

Reference 44

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Observation 7ea363ec-d210-4bf8-9f6d-1b252614b670 · outbound

This paper cites Working hard to know your neighbor’s margins: local descriptor learning loss,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Working hard to know your neighbor’s margins: local descriptor learning loss,

Reference 45

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Observation 4fdaa36a-ca2c-4179-9c69-8ca9ac86ffee · outbound

This paper cites Learning local image descriptors with deep siamese and triplet convolutional networks by minimizing global loss functions,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Learning local image descriptors with deep siamese and triplet convolutional networks by minimizing global loss functions,

Reference 46

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Observation e4e68600-37c7-4559-b403-e5cfed3dc34d · outbound

This paper cites GeoDesc: Learning local descriptors by integrating geometry constraints,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives GeoDesc: Learning local descriptors by integrating geometry constraints,

Reference 47

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Observation c2edf3d3-99ad-4ec9-9fee-55e3cd8a25bc · outbound

This paper cites Local descriptors optimized for average precision,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Local descriptors optimized for average precision,

Reference 48

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Observation 9dcbd421-1cdc-44d9-8361-12016fee6040 · outbound

This paper cites ContextDesc: Local descriptor augmentation with cross- modality context,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives ContextDesc: Local descriptor augmentation with cross- modality context,

Reference 49

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Observation c4dbc255-9745-4294-9b00-948b7100f85e · outbound

This paper cites HyNet: learning local descriptor with hybrid similarity measure and triplet loss,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives HyNet: learning local descriptor with hybrid similarity measure and triplet loss,

Reference 50

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Observation aacbf1e4-8375-4f60-b564-c7713653085d · outbound

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

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives SOSNet: Second order similarity regularization for local descriptor learning,

Reference 51

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Observation 9ffa5e58-863d-4fd7-9c7c-cf73717fd05d · outbound

This paper cites Zippypoint: Fast interest point detection, description, and matching through mixed precision discretization,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Zippypoint: Fast interest point detection, description, and matching through mixed precision discretization,

Reference 52

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Observation 81087426-8822-40fa-bbf1-87f327ff44b1 · outbound

This paper cites Xfeat: Accelerated features for lightweight image matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Xfeat: Accelerated features for lightweight image matching,

Reference 53

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Observation 47f614cd-169f-4722-83b7-cb3fd27edf64 · outbound

This paper cites NCTR: Neighborhood consensus transformer for feature matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives NCTR: Neighborhood consensus transformer for feature matching,

Reference 54

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Observation 6427698a-d457-4ad7-8a62-df02c24154fc · outbound

This paper cites DNC-Net: Dual-neighbourhood consensus net- work for feature matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives DNC-Net: Dual-neighbourhood consensus net- work for feature matching,

Reference 55

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Observation 79f27bae-0c6c-40c2-acac-165156940bd5 · outbound

This paper cites IMP: Iterative matching and pose estimation with adaptive pooling,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives IMP: Iterative matching and pose estimation with adaptive pooling,

Reference 56

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Observation 807e4619-4b43-4995-bd55-9ac3ffb3e58f · outbound

This paper cites Scene-aware feature matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Scene-aware feature matching,

Reference 57

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Observation bb3e1875-7637-4bb3-8a56-2901d79368d2 · outbound

This paper cites S2H- GNN: Learning soft to hard feature matching with sparsified graph neural network,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives S2H- GNN: Learning soft to hard feature matching with sparsified graph neural network,

Reference 58

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Observation a5abb442-63df-45e8-8426-0f007be69189 · outbound

This paper cites HTMatch: An efficient hybrid transformer based graph neural network for local feature match- ing,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives HTMatch: An efficient hybrid transformer based graph neural network for local feature match- ing,

Reference 59

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Observation 3abca9ca-cfa1-464f-98d9-a0fc742fa914 · outbound

This paper cites DiffGlue: Diffusion-aided image feature match- ing,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives DiffGlue: Diffusion-aided image feature match- ing,

Reference 60

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Observation 00574e76-f51d-4c30-b959-50f5071f87e5 · outbound

This paper cites ResMatch: Residual attention learning for feature matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives ResMatch: Residual attention learning for feature matching,

Reference 61

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Observation 0f35054d-3a5d-438e-81cb-c3d9a5d0b99c · outbound

This paper cites Matching while perceiving: Enhance image feature matching with applicable semantic amalgama- tion,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Matching while perceiving: Enhance image feature matching with applicable semantic amalgama- tion,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.439663Z

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Observation e8ae62c5-d23b-4800-b484-773ddd8b6637 · outbound

This paper cites SemMatcher: Semantic- aware feature matching with neighborhood consensus,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives SemMatcher: Semantic- aware feature matching with neighborhood consensus,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.442884Z

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Observation 7a6cdd51-3a6a-4c3b-a2d2-4e51f55d6518 · outbound

This paper cites CoMatcher: Multi-view collaborative feature matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives CoMatcher: Multi-view collaborative feature matching,

Reference 64

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Observation 07a1a1d2-8e5f-4247-9e0f-21c78eda1c49 · outbound

This paper cites AAPMatcher: Adaptive attention pruning matcher for accurate local feature matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives AAPMatcher: Adaptive attention pruning matcher for accurate local feature matching,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.449686Z

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Observation 8a8c43b9-172f-44ea-b626-820a7dadf6ae · outbound

This paper cites Learning to match features with seeded graph matching network,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Learning to match features with seeded graph matching network,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.454542Z

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Observation c39bbbac-a4ea-492e-bfb4-2fc3ff321cd6 · outbound

This paper cites Improving sparse graph attention for feature matching by informative keypoints exploration,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Improving sparse graph attention for feature matching by informative keypoints exploration,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.458051Z

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Observation fda0cdd9-7cce-466d-af26-79d140472bc8 · outbound

This paper cites ClusterGNN: Cluster-based coarse-to-fine graph neural network for efficient feature matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives ClusterGNN: Cluster-based coarse-to-fine graph neural network for efficient feature matching,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.461562Z

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Observation 611e3d88-b278-4a38-9914-88271e0042f9 · outbound

This paper cites Learning to match features with discriminative sparse graph neural network,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Learning to match features with discriminative sparse graph neural network,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.465184Z

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Observation adf08b25-89f7-4379-9bdc-985ceeca1e2e · outbound

This paper cites ParaFormer: Parallel attention transformer for efficient feature matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives ParaFormer: Parallel attention transformer for efficient feature matching,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.468596Z

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Observation f04b8cbf-d546-46f1-a113-aaf20081fbc2 · outbound

This paper cites AMatFormer: Efficient feature matching via anchor matching transformer,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives AMatFormer: Efficient feature matching via anchor matching transformer,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.472058Z

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Observation 618c75b3-5774-4620-9305-ddf64ebec217 · outbound

This paper cites LightSGM: Local feature matching with lightweight seeded,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives LightSGM: Local feature matching with lightweight seeded,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.475478Z

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Observation dcd8494f-df14-45b3-bada-f6713c1ccb6c · outbound

This paper cites FilterGNN: Image feature matching with cascaded outlier filters and linear attention,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives FilterGNN: Image feature matching with cascaded outlier filters and linear attention,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.478942Z

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Observation 800f5214-4e5e-4ade-a051-5bd28b200767 · outbound

This paper cites Learning feature matching via matchable keypoint- assisted graph neural network,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Learning feature matching via matchable keypoint- assisted graph neural network,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.483359Z

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Observation fa72786e-f763-4b69-8055-cb701647adc2 · outbound

This paper cites Ada- Matcher: A deep detector-based local feature matcher with adaptive weight sharing,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Ada- Matcher: A deep detector-based local feature matcher with adaptive weight sharing,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.486759Z

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Observation 8cb32076-1366-401f-bdca-93cb63fd53ab · outbound

This paper cites LFM-3D: Learnable feature matching across wide baselines using 3D signals,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives LFM-3D: Learnable feature matching across wide baselines using 3D signals,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.490050Z

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Observation 503feab4-33b6-4891-8098-42710ca76e0f · outbound

This paper cites MapGlue: Multimodal Remote Sensing Image Matching.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives MapGlue: Multimodal Remote Sensing Image Matching

Reference 77

Resolution: verified exact; local_arxiv, observed 2026-08-12T10:29:55.363992Z

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Observation 56ffae71-53a8-41da-a718-19c2e56fd557 · outbound

This paper cites Patch2Pix: Epipolar-guided pixel-level correspondences,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Patch2Pix: Epipolar-guided pixel-level correspondences,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.497383Z

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Observation 269e1361-8e97-4a5e-b497-6f631177c3f0 · outbound

This paper cites Match- Former: Interleaving attention in transformers for feature matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Match- Former: Interleaving attention in transformers for feature matching,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.500916Z

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Observation e8919703-6429-4f47-a666-4dbbb5a9d723 · outbound

This paper cites ASpanFormer: Detector-free image matching with adaptive span transformer,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives ASpanFormer: Detector-free image matching with adaptive span transformer,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.504595Z

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Observation 98aedd7c-941b-4e3a-a2b5-a97ebdc8f07c · outbound

This paper cites 3DG-STFM: 3D geometric guided student-teacher feature matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives 3DG-STFM: 3D geometric guided student-teacher feature matching,

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.508000Z

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Observation 58d3fea5-4506-43f8-a3ac-f3861b867512 · outbound

This paper cites MSFormer: Multi-scale trans- former with neighborhood consensus for feature matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives MSFormer: Multi-scale trans- former with neighborhood consensus for feature matching,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.511696Z

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Observation 4c93144c-c2f9-4d70-b16c-8b51b765ec1c · outbound

This paper cites TopicFM: Robust and interpretable topic-assisted feature matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives TopicFM: Robust and interpretable topic-assisted feature matching,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.515734Z

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Observation 5e3884d4-e12e-4ae6-b375-8e5bdcb578dd · outbound

This paper cites TopicFM+: Boosting accuracy and efficiency of topic-assisted feature matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives TopicFM+: Boosting accuracy and efficiency of topic-assisted feature matching,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.519844Z

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Observation b10a1388-e22a-4f1b-9c21-b9637bbebb40 · outbound

This paper cites Adaptive spot- guided transformer for consistent local feature matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Adaptive spot- guided transformer for consistent local feature matching,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.524381Z

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Observation 9c2653d8-67bf-481e-b799-d3c069c96c32 · outbound

This paper cites Structured epipolar matcher for local feature matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Structured epipolar matcher for local feature matching,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.528165Z

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Observation d1931f02-ffa5-470b-ae79-bb75297caf11 · outbound

This paper cites Affine-based deformable attention and selective fusion for semi-dense matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Affine-based deformable attention and selective fusion for semi-dense matching,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.532630Z

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Observation 8590e45f-7f3d-484a-9eec-ef0fea9b0d6e · outbound

This paper cites Beyond global cues: Unveiling the power of fine details in image matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives Beyond global cues: Unveiling the power of fine details in image matching,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.536788Z

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Observation 6296731e-dd54-45d7-a9de-76469415c6de · outbound

This paper cites PRISM: Progressive dependency maximization for scale-invariant image matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives PRISM: Progressive dependency maximization for scale-invariant image matching,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.540445Z

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Observation e752dd0c-ee79-4840-ae11-241957b2830d · outbound

This paper cites ContextMatcher: Detector-free feature matching with cross-modality context,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives ContextMatcher: Detector-free feature matching with cross-modality context,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.544393Z

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Observation 4048810e-9e4a-49b5-b207-0edd491f8582 · outbound

This paper cites DeepMatcher: A deep transformer-based network for robust and accurate local feature matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives DeepMatcher: A deep transformer-based network for robust and accurate local feature matching,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.548097Z

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Observation 879b567f-2bf0-4296-b634-1b17c377652d · outbound

This paper cites FMAP: Learning robust and accurate local feature matching with anchor points,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives FMAP: Learning robust and accurate local feature matching with anchor points,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.551745Z

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Observation 15db0028-95cc-4eca-8e1f-717d9fa0475b · outbound

This paper cites OAMatcher: An overlapping areas- based network with label credibility for robust and accurate feature matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives OAMatcher: An overlapping areas- based network with label credibility for robust and accurate feature matching,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.555356Z

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Observation 41df6b0e-73cb-4967-b61a-096a1e27df45 · outbound

This paper cites DSAP: Dynamic sparse attention perception matcher for accurate local feature matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives DSAP: Dynamic sparse attention perception matcher for accurate local feature matching,

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.558968Z

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Observation c8078b41-05fc-4227-8ad5-00bc4fb35e9d · outbound

This paper cites CorMatcher: A corners-guided graph neural network for local feature matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives CorMatcher: A corners-guided graph neural network for local feature matching,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.563006Z

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Observation 141d889e-0312-44cb-a090-94238e62a7bc · outbound

This paper cites MR-Matcher: a multirouting transformer-based network for accurate local feature matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives MR-Matcher: a multirouting transformer-based network for accurate local feature matching,

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.566893Z

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Observation 6b1cfd45-d3ad-4829-b765-2b2a0b8f3028 · outbound

This paper cites FMRT: Learning accurate feature matching with reconciliatory transformer,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives FMRT: Learning accurate feature matching with reconciliatory transformer,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.570853Z

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Observation d74c2b1a-6850-4ed6-88ec-14c44e0d2ed9 · outbound

This paper cites WinMRSI: Feature matching with window attention for multi-modal remote sensing image,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives WinMRSI: Feature matching with window attention for multi-modal remote sensing image,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.575207Z

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Observation db11bbe4-bbc6-46d5-9fc3-fde3511f4bab · outbound

This paper cites LGFCTR: Local and global feature convolu- tional transformer for image matching,.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives LGFCTR: Local and global feature convolu- tional transformer for image matching,

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.579197Z

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Observation 5dc4dcc3-5f43-493a-bb80-0cea3c01ff58 · outbound

This paper cites CoMatch: Dynamic Covisibility-Aware Transformer for Bilateral Subpixel-Level Semi-Dense Image Matching.

Cross-View Feature Matching: Survey, Benchmarking, and Foundation-Model Perspectives CoMatch: Dynamic Covisibility-Aware Transformer for Bilateral Subpixel-Level Semi-Dense Image Matching

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-12T10:29:54.583232Z

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