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Paper Citation Record · LEDGER

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching

As of 9 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 3 inbound Pith citation observations for arXiv:2510.14260.

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

pith.paper-citation-record.v1
2510.14260 v3

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:40:36.014183Z

measured 91 of 91 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T04:33:08.474747Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T21:37:42.135393Z

Reference resolution

88 of 88 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved88
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 67a4c916-4177-4058-9816-4679bf874df7 · outbound

This paper cites Dust3r: Geometric 3d vision made easy,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Dust3r: Geometric 3d vision made easy,

Reference 1

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source=pdf_text observed=2026-08-04T09:40:27.886896Z digest=sha256:60bf0db41c555022c87ac83d4a1771fa7b34a1327854ff293192f97bbf47e2c0

Observation 54a0b017-9fde-4a22-97af-b8da26b35425 · outbound

This paper cites Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images,

Reference 2

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source=pdf_text observed=2026-08-04T09:40:27.948343Z digest=sha256:e920e95525a787aba38e63cdd0e8f9e90cb4f27ee586b0982372ab7964e7dc6d

Observation 52662b4f-c92a-4b93-8c38-c96d7dddb3e7 · outbound

This paper cites Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs

Reference 3

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source=pdf_text observed=2026-08-04T09:40:28.026136Z digest=sha256:6efe4d6d068e70d959bdd3038ff2bb9b2d8a6067f51b68acc143cb384dad209e

Observation fe5e07d8-8b2a-4def-bdd7-3447b5746e74 · outbound

This paper cites No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images

Reference 4

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source=pdf_text observed=2026-08-04T09:40:28.087030Z digest=sha256:bfa7fcc76d9aa5cf98484fbd801c97bcc1999245f9b33a0242ddc8945531975a

Observation cb0a4d88-58a2-443e-9c3c-cdc8feac790c · outbound

This paper cites Unifying flow, stereo and depth estimation,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Unifying flow, stereo and depth estimation,

Reference 5

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source=pdf_text observed=2026-08-04T09:40:28.188757Z digest=sha256:5337d852b7526a54925e3883f03d4663a4b10b2a207a447daea8d3e2f5514691

Observation 4ddab6ec-fd0b-4aa6-8bc8-b332169a6153 · outbound

This paper cites Grounding image matching in 3d with mast3r,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Grounding image matching in 3d with mast3r,

Reference 6

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source=pdf_text observed=2026-08-04T09:40:28.265038Z digest=sha256:a7b194b14aa6bdb4214bf774343586c213bab4a6fa9fa5de490881e56eb5ffc4

Observation f8241793-8d6b-46a0-9dd6-71547ba87b0e · outbound

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

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching LoFTR: Detector- free local feature matching with transformers,

Reference 7

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source=pdf_text observed=2026-08-04T09:40:28.317817Z digest=sha256:25b59bc523ec368f676196722d529d67995fc6336f133185e2664c6b80cf6619

Observation 3e4cfc87-b012-47c3-b46c-24844bccebee · outbound

This paper cites Deep residual learning for image recognition,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Deep residual learning for image recognition,

Reference 8

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source=pdf_text observed=2026-08-04T09:40:28.379712Z digest=sha256:872a36a7aa60188f3a303fd1b4a72bd54abb97cd39edec16f6c2c96e91ae6d5a

Observation 749cf58f-fd34-4059-9cdf-9f85348685a4 · outbound

This paper cites Show, attend and tell: neural image caption generation with visual attention,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Show, attend and tell: neural image caption generation with visual attention,

Reference 9

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source=pdf_text observed=2026-08-04T09:40:28.419479Z digest=sha256:4d5d8208f789695873f648ceef2a9933d223032aa1a09effe2944139c950f2af

Observation 1306cb49-1a86-46db-b2b8-d16a86ebb2d6 · outbound

This paper cites Effective approaches to attention-based neural machine translation,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Effective approaches to attention-based neural machine translation,

Reference 10

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source=pdf_text observed=2026-08-04T09:40:28.544575Z digest=sha256:69f5cc7cc212a034170428f89b3d3144b45bd667cd30bdaeb67088a003c39d26

Observation 60b3d4b5-0e93-4e54-aec8-d2f57c0a94ea · outbound

This paper cites Deformable detr: Deformable transformers for end-to-end object detection.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Deformable detr: Deformable transformers for end-to-end object detection

Reference 11

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source=pdf_text observed=2026-08-04T09:40:28.657937Z digest=sha256:9c11010d166e6b1031aa7b35e5fa782bbbc14c50aa39b739ce8aa5c150eefcac

Observation a853df2c-b45d-4134-93de-a6f182284258 · outbound

This paper cites High-resolution stereo datasets with subpixel-accurate ground truth,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching High-resolution stereo datasets with subpixel-accurate ground truth,

Reference 12

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source=pdf_text observed=2026-08-04T09:40:28.770076Z digest=sha256:8fe93ba78765007c513e72ee668869b98de1efa61d215bb426e50eca6a9e1307

Observation 1ce0025a-ffb4-419f-837b-b17e6159ddc3 · outbound

This paper cites A multi-view stereo benchmark with high-resolution images and multi-camera videos,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching A multi-view stereo benchmark with high-resolution images and multi-camera videos,

Reference 13

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source=pdf_text observed=2026-08-04T09:40:28.868238Z digest=sha256:b5ea0434ee2a751d39224cece58f0b0ce769d928ea26730feae950ecd3be6b37

Observation 849095fa-16c8-4c10-bce9-4cf1280d4c9f · outbound

This paper cites A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation,

Reference 14

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source=pdf_text observed=2026-08-04T09:40:28.990891Z digest=sha256:e4921d9dde21e728cd0860c28cc2907515b4a8977b40577805c949c4ab8243cf

Observation 6843e72f-c5ce-4213-94b3-e3df4afb7f68 · outbound

This paper cites Raft-stereo: Multilevel recurrent field transforms for stereo matching,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Raft-stereo: Multilevel recurrent field transforms for stereo matching,

Reference 15

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source=pdf_text observed=2026-08-04T09:40:29.071743Z digest=sha256:9b18a66099288c6a5332f26748f253d87118fca0e26cd65dea8c92c65d5ed2d8

Observation 0fe657ab-731a-4aac-843e-acc19bfe7722 · outbound

This paper cites Foundationstereo: Zero-shot stereo matching,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Foundationstereo: Zero-shot stereo matching,

Reference 16

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source=pdf_text observed=2026-08-04T09:40:29.152297Z digest=sha256:3dafb9a6f19502435220aac34943448fc36ee22a49f4bae28b058caab48aaf28

Observation c19d99c9-9eaf-467a-85d2-402a7f3e3c1e · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 17

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Observation e9bacfec-be15-4b63-aa99-68fd05cf494d · outbound

This paper cites Joint 3d estimation of vehicles and scene flow,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Joint 3d estimation of vehicles and scene flow,

Reference 18

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Observation 4e7a1568-8c95-4f0e-b60b-5cb7dfb5e274 · outbound

This paper cites Spring: A high-resolution high-detail dataset and benchmark for scene flow, optical flow and stereo,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Spring: A high-resolution high-detail dataset and benchmark for scene flow, optical flow and stereo,

Reference 19

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Observation 867aa1fa-9a64-4df8-b289-2fe60bbf8e3b · outbound

This paper cites Neural machine translation by jointly learning to align and translate,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Neural machine translation by jointly learning to align and translate,

Reference 20

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source=pdf_text observed=2026-08-04T09:40:29.565320Z digest=sha256:f3455314d024c5596e0b9f94dce8ff72d1cbde945fb7b638490a3c18b2be1429

Observation 1b22c6b7-5591-40cd-90d7-da5560614536 · outbound

This paper cites Bridging the divide: Reconsidering softmax and linear attention,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Bridging the divide: Reconsidering softmax and linear attention,

Reference 21

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Observation f4f11dcd-cb79-4085-b299-1c076b0ac164 · outbound

This paper cites Longformer: The Long-Document Transformer.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Longformer: The Long-Document Transformer

Reference 22

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Observation a53e000f-f48d-4535-b0f8-bcbbe1d495df · outbound

This paper cites Big bird: Transformers for longer sequences,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Big bird: Transformers for longer sequences,

Reference 23

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Observation 98028e8f-c1cc-4cfe-9d56-263da827de04 · outbound

This paper cites Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformers.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformers

Reference 24

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source=pdf_text observed=2026-08-04T09:40:29.873722Z digest=sha256:a1b2c578a5176e559416bea03340d1bffef4ec1854970de5204624c11fdff876

Observation aee178d3-922a-449c-a8ac-4b5f60763fbf · outbound

This paper cites Neighborhood attention transformer,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Neighborhood attention transformer,

Reference 25

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source=pdf_text observed=2026-08-04T09:40:29.933314Z digest=sha256:ffc1c1759980ac0f0932a18e922ffef2cefb930f5b2d555eac3205c20134efdc

Observation 4c234ab7-1ce2-4bd1-afbf-988e6a20e5ad · outbound

This paper cites CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up

Reference 26

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source=pdf_text observed=2026-08-04T09:40:30.003576Z digest=sha256:50cf1b615aa93ce43c5eb09e866e8dc7082e5b211f61a47ebac168518e901770

Observation c2fb64a3-a7d9-4b2d-be1c-e58dbe12076b · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 27

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source=pdf_text observed=2026-08-04T09:40:30.109846Z digest=sha256:f01f8dce1c508f6247061a6eecf5f1f4c249cf2d838586baeb263dafd84ca0f1

Observation 19f8f959-188b-4ad6-ba2a-fa8338dbd9e0 · outbound

This paper cites Bevformer: Learning bird’s-eye-view representation from multi- camera images via spatiotemporal transformers,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Bevformer: Learning bird’s-eye-view representation from multi- camera images via spatiotemporal transformers,

Reference 28

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Observation a7458e7e-b7bc-406a-93df-74837f8b19df · outbound

This paper cites Attention is all you need,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Attention is all you need,

Reference 29

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source=pdf_text observed=2026-08-04T09:40:30.253104Z digest=sha256:9abff892c38f1868aff6ac7c4943e3e7f9b573b281420bed00c9bb60630741d0

Observation be4dc118-3b19-4e68-abc8-b50e725e7501 · outbound

This paper cites Swin transformer v2: Scaling up capacity and resolution,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Swin transformer v2: Scaling up capacity and resolution,

Reference 30

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source=pdf_text observed=2026-08-04T09:40:30.313290Z digest=sha256:cc2507a475cc808c5addd06ca7b2f699624dd716ad6cdc1df654d18bea687a32

Observation d1a0213c-c5c9-47c3-8959-5babe67b1dfa · outbound

This paper cites Transnext: Robust foveal visual perception for vision transformers,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Transnext: Robust foveal visual perception for vision transformers,

Reference 31

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source=pdf_text observed=2026-08-04T09:40:30.380688Z digest=sha256:49115287d91102a1d16a38a6254319cd56727915fcd49e4f6bc3d6490141bcaa

Observation 4f564453-bbe7-480f-bb00-344e4621a503 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Roformer: Enhanced transformer with rotary position embedding,

Reference 32

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Observation 444841c6-47f9-4c3c-ac02-e039883e0738 · outbound

This paper cites The Llama 3 Herd of Models.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching The Llama 3 Herd of Models

Reference 33

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Observation cdcb59c6-a9f8-46d1-b86b-bea7126bf1d3 · outbound

This paper cites Croco v2: Improved cross-view completion pre-training for stereo matching and optical flow,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Croco v2: Improved cross-view completion pre-training for stereo matching and optical flow,

Reference 34

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Observation 63662dc2-ab9b-458d-b3ea-8c37baa4796a · outbound

This paper cites Cameras as relative positional encoding,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Cameras as relative positional encoding,

Reference 35

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source=pdf_text observed=2026-08-04T09:40:30.685144Z digest=sha256:cc51707c6c90f255004d12774f3001bcf98fc3e771c4a4d9b6d210fad7e4e55b

Observation 4e9fe67e-f640-478e-8a4d-bee70211a94e · outbound

This paper cites Revisiting stereo depth estimation from a sequence-to-sequence perspective with transformers,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Revisiting stereo depth estimation from a sequence-to-sequence perspective with transformers,

Reference 36

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Observation 1890fc88-b605-430d-8807-797cfe5c6bb2 · outbound

This paper cites End-to-end learning of geometry and context for deep stereo regression,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching End-to-end learning of geometry and context for deep stereo regression,

Reference 37

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Observation f1b51e04-af23-4ba7-9fcb-21bc7790dbd0 · outbound

This paper cites Pyramid stereo matching network,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Pyramid stereo matching network,

Reference 38

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source=pdf_text observed=2026-08-04T09:40:31.114449Z digest=sha256:c92fcb0ee390d792503d46f765eecb2e6733d0eae3c5fda6510405e75a4ec574

Observation e3031e90-ecc3-42b2-9d6b-e16ffec809c6 · outbound

This paper cites Correlate-and-excite: Real-time stereo matching via guided cost volume excitation,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Correlate-and-excite: Real-time stereo matching via guided cost volume excitation,

Reference 39

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source=pdf_text observed=2026-08-04T09:40:31.197393Z digest=sha256:6aa36a125cc37d29412db2b9bf942ce3aa0ec88cb40e3fa2b9b2703eed79eb79

Observation eeaa00fb-88ec-4b50-9156-640a0c247258 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Raft: Recurrent all-pairs field transforms for optical flow,

Reference 40

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source=pdf_text observed=2026-08-04T09:40:31.308659Z digest=sha256:72b190ed455ce4e2a1380186d9b98591c45f6115916a8d8498fa40cfc0465d40

Observation e1de0f5a-7590-40bd-a077-55c065857183 · outbound

This paper cites Continuous 3D Label Stereo Matching using Local Expansion Moves,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Continuous 3D Label Stereo Matching using Local Expansion Moves,

Reference 41

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source=pdf_text observed=2026-08-04T09:40:31.430052Z digest=sha256:660dd19885941a19a8e654c24d0a99ecbb08417fee3a10cbd6bd65d647093764

Observation d8b0e7fc-938a-4e7b-a3a5-044941d89274 · outbound

This paper cites Hierarchical belief propagation on image segmentation pyramid,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Hierarchical belief propagation on image segmentation pyramid,

Reference 42

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source=pdf_text observed=2026-08-04T09:40:31.554407Z digest=sha256:1e0f057da00769a8aeb9122f008b2ebd0526dbd3cddfb1d762c3e53fd3a5cfbb

Observation c499e095-b078-499f-af8c-99d8cdbfa4b0 · outbound

This paper cites Iterative geometry encod- ing volume for stereo matching,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Iterative geometry encod- ing volume for stereo matching,

Reference 43

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source=pdf_text observed=2026-08-04T09:40:31.679190Z digest=sha256:b208a7bb6cfa406dcb177c907ff1c5537f04dc070985f91f8565eea62273b1ce

Observation 3c74f329-d6cd-4dff-aea4-8bf57a67c268 · outbound

This paper cites Selective-stereo: Adaptive frequency information selection for stereo matching,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Selective-stereo: Adaptive frequency information selection for stereo matching,

Reference 44

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source=pdf_text observed=2026-08-04T09:40:31.758610Z digest=sha256:d37cd031b19e1dc6b20ca2a78c837b2a57e42126a18926ea0b853f514a01ea90

Observation e13cd049-fa6d-442c-afa6-bd3a5d88bde9 · outbound

This paper cites All-in-one: Transferring vision foundation models into stereo matching,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching All-in-one: Transferring vision foundation models into stereo matching,

Reference 45

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source=pdf_text observed=2026-08-04T09:40:31.829351Z digest=sha256:8490a49d36c95a95ee05828d1a5af33384f1d1240c6f496f03fa612f8cdbb46e

Observation 8a535850-d5d5-4083-b753-f40f8ed8f68b · outbound

This paper cites DINOv2: Learning robust visual features without supervision,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching DINOv2: Learning robust visual features without supervision,

Reference 46

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source=pdf_text observed=2026-08-04T09:40:31.910699Z digest=sha256:32a26cc9abc1117aba849b0209cf6d78db9fc8ec316acd48354a739e6de31899

Observation ee7ee298-c087-4f62-bd6a-6182c44da9d4 · outbound

This paper cites Segment anything,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Segment anything,

Reference 47

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source=pdf_text observed=2026-08-04T09:40:32.074736Z digest=sha256:2528f4d601f27787290e1cb4c6268cf749b6168edaca66114cd8ad228241e8d4

Observation 1cc61e5f-8fb7-4e41-937c-70f3532f48b5 · outbound

This paper cites Depth anything v2,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Depth anything v2,

Reference 48

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source=pdf_text observed=2026-08-04T09:40:32.160337Z digest=sha256:7f0f39a061c57d61db29070fc326ce227376d4d3356d602f5b6150c321ea24bf

Observation 7e4a033d-a719-4aa9-9916-0df6e8d49afc · outbound

This paper cites Vision transformers for dense prediction,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Vision transformers for dense prediction,

Reference 49

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source=pdf_text observed=2026-08-04T09:40:32.271589Z digest=sha256:0330b3802197a3d57f3456c1753462cbff02e7dd64a6d5cb58b6fe78eee2afd6

Observation 2b05ae6f-d880-41ba-838f-7e897a163b5d · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 50

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source=pdf_text observed=2026-08-04T09:40:32.365130Z digest=sha256:3e27bb8ae6c048668e7348445b9e147c904a74b94edc8c6baa7b72f2aa3cf62d

Observation fe3837d4-79a6-4bf8-be33-a06b283b8cb3 · outbound

This paper cites Trans- formers as support vector machines,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Trans- formers as support vector machines,

Reference 51

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source=pdf_text observed=2026-08-04T09:40:32.539844Z digest=sha256:2c54afd848632a9c7e8f5ecab36dbccbd37bb0dacfe026ae3aa44dfac4f4f5df

Observation 865f8a63-8f6d-4764-8ae4-7f41fee2e403 · outbound

This paper cites Metaformer baselines for vision,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Metaformer baselines for vision,

Reference 52

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source=pdf_text observed=2026-08-04T09:40:32.613475Z digest=sha256:d8fdf975bb3ba7f9b3a40d0bae5a632250e2850f428642e5445eaa2ed12e85e9

Observation 9252d59d-4f63-492b-97bd-6ccc5daeed12 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Gaussian Error Linear Units (GELUs)

Reference 53

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source=pdf_text observed=2026-08-04T09:40:32.707034Z digest=sha256:7822beab2afc46cf1cf5b6a7e1a9e01ec1b2f8d410c1b019a7461193a5a1196e

Observation 4e5f00e4-6332-4f18-a5b7-4941d31996bd · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching U-net: Convolutional networks for biomedical image segmentation,

Reference 54

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source=pdf_text observed=2026-08-04T09:40:32.856418Z digest=sha256:db9a01dc3365f964b7f6f9e0beaa30a639f4f78315c08d72ac898383060c7935

Observation d7daa443-6540-4b33-8b7c-1590dbcedb5a · outbound

This paper cites Conditional positional encodings for vision transformers,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Conditional positional encodings for vision transformers,

Reference 55

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source=pdf_text observed=2026-08-04T09:40:32.932956Z digest=sha256:fc1f89575b8ca39499d40d70616406153a985a676dded386240d6772d2e84063

Observation 19f2b4c3-1aa4-4673-bbde-fb4126c4f2dc · outbound

This paper cites Sigmoid-weighted linear units for neural network function approximation in reinforcement learning,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Sigmoid-weighted linear units for neural network function approximation in reinforcement learning,

Reference 56

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source=pdf_text observed=2026-08-04T09:40:33.022484Z digest=sha256:e3c40c6e82e47506edffbc66f8473e2b97e8c284293e148bb01664bc2a779fd2

Observation d8a9ee15-1da9-4f6a-ac4e-e1b8f65334a3 · outbound

This paper cites Adaptive multi-modal cross-entropy loss for stereo matching,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Adaptive multi-modal cross-entropy loss for stereo matching,

Reference 57

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source=pdf_text observed=2026-08-04T09:40:33.123702Z digest=sha256:4b033827a3f2e52291f7cf8575f8d6c6bd76c515b389faa5190c2a8d5ee39977

Observation 8141ee5d-c252-44eb-bfc0-b890c6b3dd26 · outbound

This paper cites Decoupled weight decay regulariza- tion,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Decoupled weight decay regulariza- tion,

Reference 58

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source=pdf_text observed=2026-08-04T09:40:33.241972Z digest=sha256:be0af2f14b2029a2c3a95f5ffe1ccae9531abdd484694e75dba323f8a627e744

Observation 29a19c1b-26dc-4b60-a94a-33000c602b6b · outbound

This paper cites A naturalistic open source movie for optical flow evaluation,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching A naturalistic open source movie for optical flow evaluation,

Reference 59

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source=pdf_text observed=2026-08-04T09:40:33.344448Z digest=sha256:07f9b928039c3e66c6eb7943349db10a475ea64adf205aba80cb6471b8fdf61f

Observation 690d78c8-cf7e-46bd-ae37-0848d2bf7990 · outbound

This paper cites Practical stereo matching via cascaded recurrent network with adaptive correlation,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Practical stereo matching via cascaded recurrent network with adaptive correlation,

Reference 60

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source=pdf_text observed=2026-08-04T09:40:33.402662Z digest=sha256:0198c05c0b805e18861811032091499eb9c68ac6b93e5f6ee798def82db3eb45

Observation a484d6c0-45df-414c-b7a3-b4ab257b2f43 · outbound

This paper cites Falling things: A synthetic dataset for 3d object detection and pose estimation,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Falling things: A synthetic dataset for 3d object detection and pose estimation,

Reference 61

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source=pdf_text observed=2026-08-04T09:40:33.500696Z digest=sha256:568446b53dc30d6687377009aaa04c449691511abccd0e88e765e03d7e5945bf

Observation b65a379f-d99a-40cc-87a2-bcfb5aacaa5a · outbound

This paper cites In- stereo2k: a large real dataset for stereo matching in indoor scenes,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching In- stereo2k: a large real dataset for stereo matching in indoor scenes,

Reference 62

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source=pdf_text observed=2026-08-04T09:40:33.567154Z digest=sha256:ae46f61b6fed290a7ef6ab9f317890f65b0156d39a4dbae000081a4004031c08

Observation dd165db6-2f2e-4179-9337-94b3d721301a · outbound

This paper cites Hierarchical deep stereo matching on high-resolution images,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Hierarchical deep stereo matching on high-resolution images,

Reference 63

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source=pdf_text observed=2026-08-04T09:40:33.658918Z digest=sha256:cd97ad07397b2037260a3a80b57d1f82f2e6b0814a7b31236f0112503097f4d4

Observation 54e542db-f92c-4c85-af1e-3dd0c496de58 · outbound

This paper cites Virtual KITTI 2.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Virtual KITTI 2

Reference 64

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source=pdf_text observed=2026-08-04T09:40:33.745832Z digest=sha256:ad47f50ef370f90fbb4177d9b3c6058c5e227e7bfdb1eb42017247b0f0aeb08a

Observation 30fb4906-7dca-4422-8323-4644c59cb5e2 · outbound

This paper cites Flownet: Learning optical flow with convolutional networks,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Flownet: Learning optical flow with convolutional networks,

Reference 65

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source=pdf_text observed=2026-08-04T09:40:33.853809Z digest=sha256:d19449379df7d757d8dffca02bbf803dc84322c05c62166c4aee2b977e9226f3

Observation 7259b9a5-b677-46bb-bda5-431fc3b1b445 · outbound

This paper cites The hci benchmark suite: Stereo and flow ground truth with uncertainties for urban autonomous driv- ing,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching The hci benchmark suite: Stereo and flow ground truth with uncertainties for urban autonomous driv- ing,

Reference 66

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source=pdf_text observed=2026-08-04T09:40:33.961124Z digest=sha256:f06edbb841044e5cac94698d5e74f4ef29c7030417c66c95e116f9896ca9fc7a

Observation fb3924ad-6c64-4fa4-9f8f-ad158d01a4b4 · outbound

This paper cites Defom-stereo: Depth foundation model based stereo matching,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Defom-stereo: Depth foundation model based stereo matching,

Reference 67

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source=pdf_text observed=2026-08-04T09:40:34.063838Z digest=sha256:7dfaa4c68403673b960e606ec478b247dfbb43fddaff844b969a57912fb40d06

Observation 01099b94-58eb-485d-a93c-404ab630fdef · outbound

This paper cites Depth pro: Sharp monocular metric depth in less than a second,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Depth pro: Sharp monocular metric depth in less than a second,

Reference 68

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source=pdf_text observed=2026-08-04T09:40:34.194080Z digest=sha256:66dae8bbe12075361f9cc103e7ea7d51346cde257b1115a21326745f193a8d14

Observation 6679bfa0-5e6a-4b4c-8c41-eb7b8d540a0a · outbound

This paper cites Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume,

Reference 69

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source=pdf_text observed=2026-08-04T09:40:34.304547Z digest=sha256:bfc218e0cd2263e44aa86f8c0a636e79353d35841248e52e6edecdd52b9ff463

Observation c6e804cd-4fe9-428e-af6e-65f3b9181a98 · outbound

This paper cites Learning to estimate hidden motions with global motion aggregation,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Learning to estimate hidden motions with global motion aggregation,

Reference 70

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source=pdf_text observed=2026-08-04T09:40:34.417743Z digest=sha256:5673addb4f5b77eb1159a26b21d97aa7a44ddc411865a487325cc2ea943d0776

Observation 067c7b2b-18dc-4ce3-a6dd-e0abcc869253 · outbound

This paper cites Skflow: Learning optical flow with super kernels,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Skflow: Learning optical flow with super kernels,

Reference 71

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source=pdf_text observed=2026-08-04T09:40:34.492573Z digest=sha256:7ac1ce770a6ec550c550b82744cdcff4bec9225dd88b82a96a28c5394c9bd1b9

Observation dcacd237-dcba-4355-9574-fd09d404dc4f · outbound

This paper cites Flowformer: A transformer architecture for optical flow,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Flowformer: A transformer architecture for optical flow,

Reference 72

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source=pdf_text observed=2026-08-04T09:40:34.565227Z digest=sha256:20e2ced1c8f2b3f02fabc97ab7ff4a205233ba2d496e60f1a8caebdd6c7614b5

Observation 714ef8cf-0fcc-4f50-b357-2745a865215d · outbound

This paper cites Dip: Deep inverse patchmatch for high-resolution optical flow,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Dip: Deep inverse patchmatch for high-resolution optical flow,

Reference 73

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source=pdf_text observed=2026-08-04T09:40:34.644142Z digest=sha256:d8f85433df5a1c6e17a4947e501a0e28948a3e6db8a7ad7001772e28f362c95f

Observation 9ec30630-30ac-4d3a-8dd4-db0b6b20737b · outbound

This paper cites Explicit motion disentangling for efficient optical flow estimation,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Explicit motion disentangling for efficient optical flow estimation,

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source=pdf_text observed=2026-08-04T09:40:34.716347Z digest=sha256:53ef945fe90d48bc6790ad54e89ecca7d7b085743ddddf953c50502fb5945167

Observation 06ea7c4c-19a3-4dfc-a5a9-5cef6c8d1c4c · outbound

This paper cites Craft: Cross-attentional flow transformer for robust optical flow,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Craft: Cross-attentional flow transformer for robust optical flow,

Reference 75

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source=pdf_text observed=2026-08-04T09:40:34.787726Z digest=sha256:189add7380253ebe1faf3049b277dfcecd76bdb088dc8b01f4dee8faacc5f6cb

Observation 5dd6ab22-142e-4cc7-9385-f36fa2976544 · outbound

This paper cites Recurrent partial kernel network for efficient optical flow estimation,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Recurrent partial kernel network for efficient optical flow estimation,

Reference 76

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source=pdf_text observed=2026-08-04T09:40:34.854778Z digest=sha256:827346cbfd6cd08c55ba0afa111d78a4fc3f1993a84d65212cd1ed806acbd79c

Observation dc7bc44d-b948-4325-aed4-f57506077720 · outbound

This paper cites Global matching with overlapping attention for optical flow estimation,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Global matching with overlapping attention for optical flow estimation,

Reference 77

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source=pdf_text observed=2026-08-04T09:40:34.905172Z digest=sha256:a60f2daaddc9f5df745478b4ff7e534138a6116f461ebdc122ab4b7924cdd23c

Observation 140f2f1d-6011-4708-b563-f7e162776f8a · outbound

This paper cites Sea-raft: Simple, efficient, accurate raft for optical flow,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Sea-raft: Simple, efficient, accurate raft for optical flow,

Reference 78

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source=pdf_text observed=2026-08-04T09:40:34.984755Z digest=sha256:65d221c7a62b8214c02b7fd85673c417c66e6708862da48162e69e3e5c45c66b

Observation 62be6fde-084f-41a6-80dc-f7bf06e63f50 · outbound

This paper cites Unifying flow, stereo and depth estimation,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Unifying flow, stereo and depth estimation,

Reference 79

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source=pdf_text observed=2026-08-04T09:40:35.075091Z digest=sha256:b14adeff2a925bd5f8dd9f62daca97336c8162db604736045717bb9ce318b6c9

Observation a6e78704-95ed-4a13-aef3-c7c2a63e2aa7 · outbound

This paper cites Memflow: Optical flow estimation and prediction with memory,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Memflow: Optical flow estimation and prediction with memory,

Reference 80

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source=pdf_text observed=2026-08-04T09:40:35.217470Z digest=sha256:f8e482357be5efada7f029902455af29e7d64729960c9d8dfc779c69544131b5

Observation cecd1420-e99e-4fe0-8146-5235dcbea8af · outbound

This paper cites Domain-invariant stereo matching networks,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Domain-invariant stereo matching networks,

Reference 81

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source=pdf_text observed=2026-08-04T09:40:35.328426Z digest=sha256:6b88e5e15854a1a923d4976abe6a1318733f06aa9219f6304e47fe98de847d60

Observation efe22179-bebc-47e6-97b4-e885999c0cf3 · outbound

This paper cites Cfnet: Cascade and fused cost volume for robust stereo matching,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Cfnet: Cascade and fused cost volume for robust stereo matching,

Reference 82

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source=pdf_text observed=2026-08-04T09:40:35.440679Z digest=sha256:c4149d44a12f81756fc8e465d7cd90be880e1fe48e17c6ebbfd39938794309fd

Observation e93ca2aa-490a-4817-88ce-448bdf124322 · outbound

This paper cites Graftnet: Towards domain general- ized stereo matching with a broad-spectrum and task-oriented feature,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Graftnet: Towards domain general- ized stereo matching with a broad-spectrum and task-oriented feature,

Reference 83

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source=pdf_text observed=2026-08-04T09:40:35.548599Z digest=sha256:30acf8bfe05786658dbc6c08a8541a2176301cac8a5396f4ca554f70ac33aea4

Observation b3b1762a-4371-4703-bacd-6a38ff213522 · outbound

This paper cites Itsa: An information-theoretic approach to automatic shortcut avoidance and domain generalization in stereo matching networks,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Itsa: An information-theoretic approach to automatic shortcut avoidance and domain generalization in stereo matching networks,

Reference 84

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source=pdf_text observed=2026-08-04T09:40:35.692070Z digest=sha256:2dd9cf7f571325f26d8c89e1d56a4c29150d2ced452b28b190bc6b1e9c37602a

Observation e952136f-66bc-4eaf-9283-eb696bc0e654 · outbound

This paper cites Domain generalized stereo matching via hierarchical visual transformation,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Domain generalized stereo matching via hierarchical visual transformation,

Reference 85

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source=pdf_text observed=2026-08-04T09:40:35.758628Z digest=sha256:aa078bfb6c1e4c4a6b06ef533326ded0179e2e82e9ce3535842a4ce7701e0952

Observation 40b46bee-933b-4c69-8ee2-dfc12e0465c8 · outbound

This paper cites Neural markov random field for stereo matching,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Neural markov random field for stereo matching,

Reference 86

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source=pdf_text observed=2026-08-04T09:40:35.822032Z digest=sha256:f9560a60aac6411b500e7c4090d076ab7a5b961dfae172cc61e03422826a4e05

Observation 9106eb06-9b19-4fc8-a495-0c04d8e329c7 · outbound

This paper cites Mocha-stereo: Motif channel attention network for stereo matching,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Mocha-stereo: Motif channel attention network for stereo matching,

Reference 87

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source=pdf_text observed=2026-08-04T09:40:35.922945Z digest=sha256:1b99f361054b50501775849b3f3de63909d5630283e88f2e27bd9e761f73b740

Observation 15cc8d8f-cd6c-4449-a2f5-fd11c262f571 · outbound

This paper cites Stereo any- where: Robust zero-shot deep stereo matching even where either stereo or mono fail,.

MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching Stereo any- where: Robust zero-shot deep stereo matching even where either stereo or mono fail,

Reference 88

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source=pdf_text observed=2026-08-04T09:40:36.014183Z digest=sha256:dabf03b1da2763ff5531d6c57aec140b9b28e11bba3b43129b3f14566c8e80d2

Pith citing papers

Observation a7907830-f8f0-4504-94d9-c6630f92c8c3 · inbound

WAFT-Stereo: Warping-Alone Field Transforms for Stereo Matching cites this paper.

WAFT-Stereo: Warping-Alone Field Transforms for Stereo Matching MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching

Reference 61

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source=pdf_text observed=2026-07-13T18:36:06.641113Z digest=sha256:a15157887d3d3b05a7937d16a9bcc80ad9ed47270cb61bc6bb87b5e637890ea7

Observation f0baab99-b3ed-4141-b9af-950c5c844421 · inbound

URS-Stereo: Uncertainty-Guided Residual Search for Real-Time Stereo Matching cites this paper.

URS-Stereo: Uncertainty-Guided Residual Search for Real-Time Stereo Matching MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T21:29:34.016225Z digest=sha256:f1cd34f0acbb1e19f1b4d0a5a2043a8461ef60670d95a92252005719e40fbd95

Observation b1fc8025-0a5a-4043-9841-53ba141788c7 · inbound

WAVE-Stereo: Warp-Aligned Volume Encoding for Stereo Matching cites this paper.

WAVE-Stereo: Warp-Aligned Volume Encoding for Stereo Matching MatchAttention: Embedding Explicit Matching Constraints into Attention for Efficient Stereo Matching

Reference 36

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source=pdf_text observed=2026-08-02T04:33:08.474747Z digest=sha256:a47f94b008263940461f665e0d39572814df49c14f82bab485a5119f9f50434d