Pith. sign in

Paper Citation Record · LEDGER

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World

As of 15 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2505.08607.

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

pith.paper-citation-record.v1
2505.08607 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:55:06.887298Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T20:14:38.804540Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

  • verified exact1
  • verified fuzzy32
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e5665e6a-ddd2-4406-a1e3-fa4577810482 · outbound

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

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Correlate-and-excite: Real-time stereo matching via guided cost volume excitation

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.826127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.757870Z digest=sha256:c2f4bbda5ff6f16a1378e213ba1780323ee9f05125e73d4da6808915ebe50121

Observation b7dce32b-653d-4918-9b1f-747fbb12ac17 · outbound

This paper cites Vision transformers need registers,.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Vision transformers need registers,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.794582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.772924Z digest=sha256:755daa462e9b1b77a2180c792c6d4bf6160938d5a24c08636e192858dfc75db1

Observation 4c654d11-2be8-4ee5-a39a-8bf40204cc8e · outbound

This paper cites Lidar-based person re-identification.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Lidar-based person re-identification

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.755826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.790102Z digest=sha256:f34be4c05509e0479123ee3a7428fdd6ad870bd6ff8d7fa264f0505690aa8c99

Observation eceea671-4eb6-43c7-91a7-4ccaf86bde00 · outbound

This paper cites Microsoft coco: Com- mon objects in context.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Microsoft coco: Com- mon objects in context

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.722208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.798968Z digest=sha256:b4766b9dd5dfa2531e1ad8771b4c430294a80832812f2ac31daeb9c61426018e

Observation fb58b134-5f44-477c-9306-26dbda658b8b · outbound

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

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World A large dataset to train con- volutional networks for disparity, optical flow, and scene flow estimation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.701196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.805572Z digest=sha256:376ca18248c82faeb168de51c643d2438b659b20baed0ba58bdc71c69cb86a38

Observation 4c10b4d1-5037-44e4-a8e3-8ca7824252ef · outbound

This paper cites Object scene flow for autonomous vehicles.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Object scene flow for autonomous vehicles

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.689292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.808523Z digest=sha256:6a7621c87cb64b5fbedf6080d1ebe9f504c9e88b53d33c016bd94040bf456201

Observation d9ebc6b6-c7f5-489a-a196-dea34493dcda · outbound

This paper cites an unresolved cited work.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:55:07.667980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.815138Z digest=sha256:a43e051bf0737773731e6ea235ca2dc83ec1e7811e5a205448f89a818f709171

Observation 845d7d09-ca73-455c-96b8-40f4f2d739d9 · outbound

This paper cites Slam2: an open- source slam system for monocular, stereo, and rgb-d cam- eras.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Slam2: an open- source slam system for monocular, stereo, and rgb-d cam- eras

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.658825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.818275Z digest=sha256:ccb8cea64ca44dca6647a64bff4d63d098c8ad87978c95c45bd5550925945cdd

Observation 74e83e35-0cad-42e3-a047-3997439a9932 · outbound

This paper cites Learning transferable visual models from nat- ural language supervision.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Learning transferable visual models from nat- ural language supervision

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.649492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.821304Z digest=sha256:7b0f7351c7754b95f872c0f1fd525798dcb372b12550168ecf2120a00ab9c71e

Observation 40067a27-004e-49f9-b00d-3998a464e238 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World SAM 2: Segment Anything in Images and Videos

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T21:55:06.824052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:55:06.824052Z digest=sha256:5091462fce6622f585f60cca51ac0a72c5ebe28a4735ea40bdf6420c04069613

Observation d34c8b32-bcc8-4d2d-b908-cbb1f431c046 · outbound

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

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World High-resolution stereo datasets with subpixel-accurate ground truth

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.637978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.827872Z digest=sha256:aa3ea97846962bcc0f7652e17b8c3ea2a2d0813d72dca0bd42d0d0fc3aa057a3

Observation 5f951478-e9c4-4ade-9d45-a7341736378e · outbound

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

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World A multi-view stereo benchmark with high-resolution images and multi-camera videos

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.625357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.830927Z digest=sha256:4f956971fe15019c50604b6a7874a87fbd58b63f9f3f910c8e2460c9f8aa35b9

Observation 6f0eec74-b985-40ed-8a7a-d9ad69d2b05e · outbound

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

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Cfnet: Cascade and fused cost volume for robust stereo matching

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.613103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.834175Z digest=sha256:f9a22aa449d88a4ac57df2dbe9df0410349d0d6387190fe618bf18891724e2c1

Observation be093497-e42e-45d9-80eb-bb4a2d9e8fa3 · outbound

This paper cites Simonyan and A.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Simonyan and A

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.601591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.838016Z digest=sha256:aad2bbddcc6620d062e386b4cece122008fbfa5c12ff16aa580402fb4d9dfef0

Observation d4dfef60-d868-424f-ad00-1d6ec7bdec51 · outbound

This paper cites DIODE: A Dense Indoor and Outdoor DEpth Dataset.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World DIODE: A Dense Indoor and Outdoor DEpth Dataset

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T21:55:06.841086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:55:06.841086Z digest=sha256:a192b403f63fe9cd86b0e6a2e5a6f878ceda2776eb3c4c850d8a93e18b369b07

Observation c7e4e68d-36fa-4ec2-8a28-da4298ca44b8 · outbound

This paper cites FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T21:55:06.844303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:55:06.844303Z digest=sha256:9a06e1a3445588480d58d603141717f4da892c0a5f663c72081a040596af70f5

Observation f7a4d574-148d-4fbc-b31b-1a2dbcd87688 · outbound

This paper cites Mono2Stereo: Monocular Knowledge Transfer for Enhanced Stereo Matching.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Mono2Stereo: Monocular Knowledge Transfer for Enhanced Stereo Matching

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:55:06.921786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.847908Z digest=sha256:83de631b42d1537c2ddd492545a8432fd8300ad18c35f1071a07f63bb0205091

Observation 2de4531a-6d64-41a5-942c-396cbaca34fd · outbound

This paper cites Learning stereo from single images.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Learning stereo from single images

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.589426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.851735Z digest=sha256:b2d92ef00a6ef7e3f4231e7a045c797909977cd57c08cc0f6d3f26571499fc63

Observation 326a4565-f429-4e0f-ae47-e092a97cbe3c · outbound

This paper cites Structure-guided ranking loss for single image depth prediction.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Structure-guided ranking loss for single image depth prediction

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.535335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.855282Z digest=sha256:750d735668e4ec5e5047e36995e9c07e3b53eb0aaa7d5e93f9598b028b641a46

Observation a1fb4cac-bc71-43cb-8550-2fb18be8a1f1 · outbound

This paper cites Iterative geometry encoding volume for stereo matching.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Iterative geometry encoding volume for stereo matching

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.522270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.858214Z digest=sha256:266e1014d40fcb02f4fc9f94f39a15a5f80c47b3089bd25cd5db774ab28517e9

Observation d537fd48-200c-40f1-8d9b-86866e294b59 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Depth anything: Unleashing the power of large-scale unlabeled data

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.510187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.861161Z digest=sha256:13d8578daf812ff3e9245103282189608bb210a0d4afee6d44c9cf6937806378

Observation 97d70a75-c15b-4d22-ac21-b9394281eecb · outbound

This paper cites Building a 3-d line-based map using stereo slam.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Building a 3-d line-based map using stereo slam

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.499034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.864048Z digest=sha256:704007f7595cd3822724d9c5922a20828f4d83d1329f798eb74a6bc111377ac9

Observation 4c1ad70f-f3a4-4891-a5b3-ab14735e59a4 · outbound

This paper cites Ga-net: Guided ag- gregation net for end-to-end stereo matching.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Ga-net: Guided ag- gregation net for end-to-end stereo matching

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.465448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.868273Z digest=sha256:fbabeb31c07e64b0c3904066a60de1ede053d8ca17f5aaf2ff34a7f297715c22

Observation 438540ed-c657-415d-b0ff-6643a051c065 · outbound

This paper cites Learning temporal consistency for low light video enhancement from single images.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Learning temporal consistency for low light video enhancement from single images

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.423548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.872881Z digest=sha256:5455d9fe5aedcefc331b161f28b281448988192ec92435e3183e67c49aedfebf

Observation e2332f0c-0f68-4adf-9e2a-743b9de9d6f0 · outbound

This paper cites Learning rain location prior for nighttime derain- ing.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Learning rain location prior for nighttime derain- ing

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.368975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.877223Z digest=sha256:c5e9b7a6d3a8f760aaea4ebde2d004d9f653c4bbfb2ea2bf9e565335a9eaf241

Observation 295a300a-2746-4eff-8f68-e4789749f9c3 · outbound

This paper cites Atlantis: Enabling underwater depth estimation with stable diffusion.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Atlantis: Enabling underwater depth estimation with stable diffusion

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.240319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.880876Z digest=sha256:e4b3e53e3ee2aef5a682444aca47d78c21a2592d77fab8c0dd43773d2beec4fa

Observation 09951d9a-63e3-4976-9878-e377a3d46f4f · outbound

This paper cites Unaligned rgb guided hyperspectral image super-resolution with spatial- spectral concordance,.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Unaligned rgb guided hyperspectral image super-resolution with spatial- spectral concordance,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.144041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.883844Z digest=sha256:80eb599604adf238868951c6d89fb36bf81da6678d3f96e23798195dfdb4504c

Observation c97afb64-7da4-4209-ab9b-0bb5f458a039 · outbound

This paper cites Cascade cost volume for high-resolution multi-view stereo and stereo matching.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Cascade cost volume for high-resolution multi-view stereo and stereo matching

Reference 2012

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.776674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.780349Z digest=sha256:a4f25aa4427b4a1975ea4e3eafbc09d61d588c09da5e76c38d479388909115e3

Observation 5a3b0b99-5ace-402b-bb30-175a818a8962 · outbound

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

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Raft-stereo: Multilevel recurrent field transforms for stereo matching

Reference 2014

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.711085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.802225Z digest=sha256:cdd1f7674f89428ef797e8f8141f0b8099fec9357d4fd313df90f1bdc22b433f

Observation a8dbc436-56b4-4599-a9e4-ea4aa2029850 · outbound

This paper cites The mapillary vistas dataset for semantic understanding of street scenes.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World The mapillary vistas dataset for semantic understanding of street scenes

Reference 2015

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.678612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.811730Z digest=sha256:a236dddfe173144348dbe9cdb6d14edac76caebe27dbfc010249ddffb1ec9db0

Observation e43336a7-ef00-400e-b52a-ad6829c3a79e · outbound

This paper cites DIML/CVL RGB-D Dataset: 2M RGB-D Images of Natural Indoor and Outdoor Scenes.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World DIML/CVL RGB-D Dataset: 2M RGB-D Images of Natural Indoor and Outdoor Scenes

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-15T21:55:06.768611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:55:06.768611Z digest=sha256:6a08b28ed7e1779ecb0fcb34234ceb116866fd42933dfca1946b9e1cc22bed79

Observation c5cf84ca-0c65-429e-8b25-1356be792b44 · outbound

This paper cites Mpi-flow: Learning realistic opti- cal flow with multiplane images.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Mpi-flow: Learning realistic opti- cal flow with multiplane images

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.732753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.796106Z digest=sha256:b5bc777f34469885505d779b89fd2da14da9e518b41b52cd7f76aedff99112ab

Observation acdbece7-0ccb-4631-a4d0-bb3fe9ded498 · outbound

This paper cites Single-image depth perception in the wild.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Single-image depth perception in the wild

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.804979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.765379Z digest=sha256:f95cbe35030b63f4a41027a57e57da2f49b1c864cf96798d9c5d187acd7b993d

Observation fa9decc1-0bfc-4744-a288-be5f11604b8a · outbound

This paper cites OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-15T21:55:06.786554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:55:06.786554Z digest=sha256:d84b53c50605b6a7877accfdf99a56ebc6e00f3588e013f1cc04e8a67c735c38

Observation 36e72291-0047-4256-b6a6-f7597e011ba9 · outbound

This paper cites Group-wise correla- tion stereo network.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Group-wise correla- tion stereo network

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.766856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.783395Z digest=sha256:efd4ae292f773914e0aa09663d774f22fab7768f979a64f503dda5e8e37ebf29

Observation 5575406d-2b92-4f74-b446-8455362d76f5 · outbound

This paper cites Pyramid stereo matching network.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Pyramid stereo matching network

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.815482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.761878Z digest=sha256:7c70e2d24969142921577afc248208a96fcdd2d9f5d7612e7780700dad0bb7fb

Observation 336b3d0a-99a7-4186-b14a-703875c42788 · outbound

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

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.785912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.776583Z digest=sha256:8cde8ec6d859a504afe21abd0ed10fb83a851fcd35f01cfee4f5bb3fc1a394ff

Observation d8a25704-9ebc-4d38-aea4-838c179a6fdf · outbound

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

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World End-to-end learning of geom- etry and context for deep stereo regression

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.745140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.792988Z digest=sha256:14ba4d0d37e9fe63565b5c52b3161cca7f10eecc19befc41a91a40d9b2ea2daf

Observation f013c758-4000-4883-b10a-a0a38514d3ea · outbound

This paper cites Scene parsing through ade20k dataset.

Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World Scene parsing through ade20k dataset

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:55:07.093740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T21:55:06.887298Z digest=sha256:b1136095b4e53d059d823e0c4352cd8d7c475fdb73ae54f9173971d9d3375d50

Pith citing papers

Observation 44318312-e995-4c35-b040-6b24174c407d · inbound

AquaStereo: Enabling Underwater Stereo Matching via Depth-Conditioned Diffusion and Geometry Self-Distillation cites this paper.

AquaStereo: Enabling Underwater Stereo Matching via Depth-Conditioned Diffusion and Geometry Self-Distillation Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World

Reference 52

Resolution
unresolved
no resolver link, observed 2026-07-11T20:14:38.804540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:14:38.804540Z digest=sha256:54eae84b80b9892b90fa7e7d898f6c92c4004851a5e0a2caa94416e253be6bfe