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Paper Citation Record · LEDGER

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching

As of 16 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:1908.06257.

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

pith.paper-citation-record.v1
1908.06257 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:59:18.845814Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

  • verified exact1
  • verified fuzzy30
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7157105-32f5-4faf-99af-c8f298e1cc4c · outbound

This paper cites write newline.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:59:18.581171Z digest=sha256:d5db55e7cdd63fa74f6187a51ceeb61a688c1bdc5ec3abe2cbcd34c59fc5c94b

Observation 091338b3-9bec-471d-92ea-7d08ae1fc1d8 · outbound

This paper cites write newline.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching write newline

Reference 2

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unresolved
no resolver link, observed 2026-08-14T12:59:18.590707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:59:18.590707Z digest=sha256:5e4e3abf2f3e0cac98012a5bab64ee2015c454a9bdd2156c6f8cd96f4a98ece2

Observation 714b0099-f0a6-4bd8-a782-7d2ebcdb274a · outbound

This paper cites Ceres solver.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Ceres solver

Reference 3

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verified fuzzy
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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-14T12:59:18.598385Z digest=sha256:9e32538d5639c072ac2b0be0ae943319bb8ba792571ad1926f11600faa2280a7

Observation 7d051593-ba87-41e3-83fc-d19678696c88 · outbound

This paper cites Fast approximate energy minimization via graph cuts.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Fast approximate energy minimization via graph cuts

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.607717Z digest=sha256:44f673493fd44eb73d888a85ecdea3fada822abad333e8c98a35ffaf021fb37f

Observation 36d83ba6-f9d1-4e56-9b1c-32e7f7cefe11 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching ShapeNet: An Information-Rich 3D Model Repository

Reference 5

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unresolved
no resolver link, observed 2026-08-14T12:59:18.616724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:59:18.616724Z digest=sha256:545e207beb14950d37d514637832b4827bd225905fa831590148c2096c22393c

Observation 9e39393c-c943-49bc-bb78-4b9ab38c9de3 · outbound

This paper cites Pyramid stereo matching network.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Pyramid stereo matching network

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.622852Z digest=sha256:79ceb8e23a8c03236405bb677488af2062dba9ccd64ccba2bd97fa9a34f08ef7

Observation b01efd05-0fb3-44b1-9fcc-555132f9156e · outbound

This paper cites A deep visual correspondence embedding model for stereo matching costs.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching A deep visual correspondence embedding model for stereo matching costs

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.630828Z digest=sha256:c59d937b85348fce606b1d521e1bec5e2117c24b0bad852f7723115b9b3e5c6b

Observation 30b37fac-833b-41d5-ba4f-8042c75f66b3 · outbound

This paper cites Dual-fisheye omnidirectional stereo.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Dual-fisheye omnidirectional stereo

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:19.532857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.638025Z digest=sha256:93b41eae18ae889099d9d8578548f26ed547cf127f9740d27763a5bf1169d45c

Observation e464ff4e-41bb-4292-a7dd-a248502f2bcc · outbound

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

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-14T12:59:19.514648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.644899Z digest=sha256:807c5fd8ece406c02497b6af9ddb85d11feb330fca3f07b67ea0165ff7b327d7

Observation 1872af0a-adb7-4ef7-bb3d-77c24af489a4 · outbound

This paper cites Displets: Resolving stereo ambiguities using object knowledge.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Displets: Resolving stereo ambiguities using object knowledge

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:19.494398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.653401Z digest=sha256:5b4932168519b11cdd7739235f360a4322e86242b726e67ff43dfdace0c8e1c6

Observation 8581b098-7321-45fa-8b31-77463bcdb55d · outbound

This paper cites Deep residual learning for image recognition.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Deep residual learning for image recognition

Reference 11

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unresolved
no resolver link, observed 2026-08-14T12:59:18.660376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:59:18.660376Z digest=sha256:115c88002424ebaaf61f8874d68229d257a848fb53cd3cdf0bac79c542958bdb

Observation 9f82b515-106a-4319-aa20-4f100c60416b · outbound

This paper cites Stereo processing by semiglobal matching and mutual information.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Stereo processing by semiglobal matching and mutual information

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.670542Z digest=sha256:bdecac8fba320bfec9d601edb47ba54a30ac70a61474f0a4a1363ca1fde2aa16

Observation 9828fd2e-f351-43f8-9d74-2762e47199ac · outbound

This paper cites Evaluation of cost functions for stereo matching.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Evaluation of cost functions for stereo matching

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.677501Z digest=sha256:f9551e72d295bd304b236dd5c926bdfedb35b5fb85065aa7842edf95f937c534

Observation de882317-0215-4b2b-84d0-2138e3eb99ee · outbound

This paper cites Occlusions, motion and depth boundaries with a generic network for disparity, optical flow or scene flow estimation.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Occlusions, motion and depth boundaries with a generic network for disparity, optical flow or scene flow estimation

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:19.428063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.684524Z digest=sha256:666ab6e45b2201c3749f1d4fd323b1136a62d5dc6f2764e550546179282dc299

Observation 006d5fca-cf59-4c01-95d6-6ea559879e65 · outbound

This paper cites All-around depth from small motion with a spherical panoramic camera.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching All-around depth from small motion with a spherical panoramic camera

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:19.409333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.694263Z digest=sha256:9ce18bdee00d34b112aa59d34b70104209f8434093bd746ff6b0ea947c2c7808

Observation f459c577-1bc0-48fb-94e7-93ec3d7fd577 · outbound

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

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching End-to-end learning of geometry and context for deep stereo regression

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:19.390659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.703590Z digest=sha256:8eddced237210062e4adf0de46ab22a2ae98d9eb54930dc5dd8d07b35a44fce0

Observation c26643fb-6a45-482d-9e61-7e6ecade7495 · outbound

This paper cites Efficient deep learning for stereo matching.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Efficient deep learning for stereo matching

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.710974Z digest=sha256:5ec4274a7c34feac15d774ec4a369d5d425aa4f0ba523811d84b5dc7d6049833

Observation bbf105d1-bfb8-4a62-82b8-b8eef1d42ee8 · outbound

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

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.717445Z digest=sha256:8a01f130dd2f5300cc55c64387fc132594ccb8de7c2920ef43c1740f09ee6aa2

Observation 3f67f098-255a-4581-8a95-a67479ee497d · outbound

This paper cites Object scene flow for autonomous vehicles.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Object scene flow for autonomous vehicles

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.723813Z digest=sha256:a27021cc4e3052c3c5532702fcb452267ac9ec0c9cb3fc773505f509339233cc

Observation e3bfc30f-f54e-4d5e-b78e-10458994fec0 · outbound

This paper cites Cascade residual learning: A two-stage convolutional neural network for stereo matching.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Cascade residual learning: A two-stage convolutional neural network for stereo matching

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.730779Z digest=sha256:5a01a6a2d17bed8fbef254a642cf54045fdc3b6cb72846912de82e381454369e

Observation 1e2c29a4-dbd4-414d-95b6-1e66d84f0ec9 · outbound

This paper cites Eliminating the blind spot: Adapting 3d object detection and monocular depth estimation to 360° panoramic imagery.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Eliminating the blind spot: Adapting 3d object detection and monocular depth estimation to 360° panoramic imagery

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.738559Z digest=sha256:5b6732d0f48f774c6b15d55b57597a1a94d46b293d75084c24562caa369d399e

Observation 047e5195-7150-42cc-ac8b-7b2ba47e57e9 · outbound

This paper cites Playing for benchmarks.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Playing for benchmarks

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.746292Z digest=sha256:0f509c5ef83a65103dda4ca3570ef7f2bd191e340849f9670ded0fb5e6e2c71d

Observation 9f6ac7bd-84b6-4d16-a476-8e6b25166477 · outbound

This paper cites The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:19.236256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.753507Z digest=sha256:ff8e78fe3cf206be14c80ac90d5f56913f52c604bebb1ab7084e6cc7a1133b11

Observation 093e7f21-c999-4b34-b04f-2be375b261d8 · outbound

This paper cites A flexible technique for accurate omnidirectional camera calibration and structure from motion.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching A flexible technique for accurate omnidirectional camera calibration and structure from motion

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:19.214804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.760312Z digest=sha256:b4f1fd3879713b9519b5cca37fca771f8c8626424781256a660d4373b71f41ff

Observation adb2d6cf-3186-43fc-838b-5371995766fa · outbound

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

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching High-resolution stereo datasets with subpixel-accurate ground truth

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:19.188445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.770895Z digest=sha256:616d92b31c2bc91fe7a9ac4eca702b7eb7ac738455a13fd19eea55fdc9ca0f56

Observation 7ef0d5d0-467f-4ca3-88d8-cb22bb8c3865 · outbound

This paper cites High-accuracy stereo depth maps using structured light.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching High-accuracy stereo depth maps using structured light

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:19.164839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.780695Z digest=sha256:ed70255ba82f5589186a00725f7bd56afa8cbdafc30ea71c5973edec9e791431

Observation 718647c1-cba2-486b-abbb-3185ff349fae · outbound

This paper cites Omnidirectional 3d reconstruction in augmented manhattan worlds.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Omnidirectional 3d reconstruction in augmented manhattan worlds

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:19.140946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.789307Z digest=sha256:f89e31d1758881ab88bde6d63c37eaee245d9f51ec23437eb365d93ca9ce6abd

Observation 4b2f8482-fa78-4cb3-8957-d6d741770a94 · outbound

This paper cites Sgm-nets: Semi-global matching with neural networks.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Sgm-nets: Semi-global matching with neural networks

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:19.121514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.795649Z digest=sha256:0ac765c12827952f4cb3a5fc3852f217ae3b1ae813f0b786c87815bf141c5dcc

Observation a42dc68a-5377-4480-a6d7-6507d83b4cbe · outbound

This paper cites Semantic scene completion from a single depth image.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Semantic scene completion from a single depth image

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:19.099623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.804419Z digest=sha256:60521d20d6cd7a4322eff867aaeaf4c92bd9110b362733caf8577fa15b4fc165

Observation 221f8633-c1fc-45e7-8896-5b34b2e59e89 · outbound

This paper cites Improved wide-angle, fisheye and omnidirectional camera calibration.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Improved wide-angle, fisheye and omnidirectional camera calibration

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:19.072767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.812260Z digest=sha256:cd4a657a70588f0ad41a42c87f941fcccf06ba84eebd4e933e918887abe61fe1

Observation 4013aa9e-91aa-4f00-9982-437dba539545 · outbound

This paper cites Stereo calibration and rectification for omnidirectional multi-camera systems.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Stereo calibration and rectification for omnidirectional multi-camera systems

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:19.043694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.819475Z digest=sha256:65ef75c7d430053f237bc918e38af900cb5d4011482fc741dc78dd8828652351

Observation e9fdf40f-2544-40a9-b2b1-bbbcce6996cd · outbound

This paper cites SweepNet: Wide-baseline Omnidirectional Depth Estimation.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching SweepNet: Wide-baseline Omnidirectional Depth Estimation

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:59:18.908538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.825796Z digest=sha256:53550572edb634c1d0a1d2ae1e991b05e489797c8d2a4e9f4331540755b6044c

Observation 24aa3d7e-08fa-4b84-88f6-7d48a85c61dd · outbound

This paper cites Learning to compare image patches via convolutional neural networks.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Learning to compare image patches via convolutional neural networks

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:19.020140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.833014Z digest=sha256:0b974c25a0da60e3e6bfb524e3439925eccb59f32c59c4a77330f01d00d29a9e

Observation 64153689-1e2f-4f2c-b47d-5ddc73457a4f · outbound

This paper cites Stereo matching by training a convolutional neural network to compare image patches.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Stereo matching by training a convolutional neural network to compare image patches

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:59:18.998911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T12:59:18.839088Z digest=sha256:5d911784b6fa699887fb26efb98cab4d74035f3ff0dcd95f29dfde3436c7352f

Observation dcf2ebb5-4e98-4812-bf75-9fc0ac158003 · outbound

This paper cites Omnidepth: Dense depth estimation for indoors spherical panoramas.

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching Omnidepth: Dense depth estimation for indoors spherical panoramas

Reference 35

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raw_fallback, observed 2026-08-14T12:59:18.973305Z

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source=arxiv_source observed=2026-08-14T12:59:18.845814Z digest=sha256:dcf1483ba3f4341448bcaba9a8e6395f324260faf7923b5499617bd77808906d

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