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Source: paper_references, paper_reference_links, observed 2026-08-06T05:48:38.274750Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2508.01275.
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Source: paper_references, paper_reference_links, observed 2026-08-06T05:48:38.274750Z
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Pith citing papers itemized under the disclosed page cap.
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65 of 65 outbound references displayed
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Observation 8da680fe-1812-4fe6-9868-2993466079ad · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Playing to vision foundation model’s strengths in stereo matching,
Reference 1
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Observation 11afaa62-61ca-472a-9f89-4c7a31348047 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching SC-DepthV3: Robust self-supervised monocular depth estimation for dynamic scenes,
Reference 2
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Observation b60c577e-6df0-4990-8410-0eb41b74aa4c · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching A resource-efficient pipelined architecture for real- time semi-global stereo matching,
Reference 3
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Observation ed0dd714-59d0-4b97-802c-38604202a7f7 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Deep stereo network with mrf-based cost aggregation,
Reference 4
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Observation 91de2b87-b44c-4149-b988-ec3fc8ae36d1 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Stereo matching: fundamentals, state-of-the-art, and existing challenges,
Reference 5
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Observation 008d7891-c8ce-482b-bffd-5ac5ae065fa3 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Road surface 3D reconstruction based on dense subpixel disparity map estimation,
Reference 6
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Observation 156dc808-d1e3-47ae-98aa-7519ec6b6b49 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Learning collision-free space detection from stereo im- ages: Homography matrix brings better data augmentation,
Reference 7
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Observation 5995c6f8-1f40-4287-84f2-fb16046dad36 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching SNE-RoadSeg: Incorporating surface normal information into semantic segmentation for accurate freespace detection,
Reference 8
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Observation 3e606357-8531-40c3-85d4-3d28b7f5b9d2 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching A low-cost and scalable framework to build large-scale localization benchmark for augmented reality,
Reference 9
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Observation 700bbfcf-746f-441f-afa2-d1269b8e3328 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching MASIC: Deep mask stereo image compression,
Reference 10
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Observation 317c94f7-43fa-46fb-a409-5825d3a25451 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching WHU-Stereo: A challenging benchmark for stereo matching of high-resolution satellite images,
Reference 11
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Observation ecd93ba7-8795-4a8a-8355-f7c20922166e · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Pothole detection based on disparity transformation and road surface modeling,
Reference 12
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Observation ad0bd097-d4d0-4094-85b6-d8ccee9d0e91 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Graph attention layer evolves semantic segmentation for road pothole detection: A benchmark and algorithms,
Reference 13
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Observation 2120579c-da77-4d92-a3b8-d52d11c9f375 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching A high-throughput depth estimation processor for accurate semiglobal stereo matching using pipelined inter-pixel aggregation,
Reference 14
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Observation 4d1ff0b7-b027-4cc3-b171-606fbeb1eeb8 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Unambiguous pyramid cost volumes fusion for stereo matching,
Reference 15
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Observation 53b99d4e-f10e-4f63-9498-1ce6f9d8b597 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Rethinking road surface 3-D reconstruction and pothole detection: From perspective transformation to disparity map segmenta- tion,
Reference 16
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Observation 75100e73-fe25-4ce3-9c73-2e1dafb94561 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching The farther the better: Balanced stereo matching via depth-based sampling and adaptive feature refinement,
Reference 17
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Observation 5696c8f6-16a4-4828-a134-854b2a9c5ae6 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Inter-scale similarity guided cost aggregation for stereo matching,
Reference 18
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Observation fe80cbb4-a5a3-44b4-9164-9aadb4847007 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Robust scale-aware stereo matching network,
Reference 19
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Observation c7589d62-3bcd-4efd-8c86-3d3d949f74c0 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching A decomposition model for stereo matching,
Reference 20
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Observation f64e7125-7c6e-4f1b-8977-50139e28893b · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Stereo anywhere: Robust zero-shot deep stereo matching even where either stereo or mono fail,
Reference 21
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Observation 38c8c8df-8bc0-4848-acd8-24bd390fa340 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Monster: Marry monodepth to stereo unleashes power,
Reference 22
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Observation dca2ba85-e139-4caf-ae07-99d34bece8bf · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Unsupervised stereo matching using confidential correspondence consistency,
Reference 23
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Observation d472e0bb-7e62-47fe-b4d6-c6cb30505755 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching SegStereo: Exploiting semantic information for disparity estimation,
Reference 24
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Observation f4e79e85-5d95-477b-9d97-11ff30a15435 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching SUW-learn: Joint supervised, unsupervised, weakly supervised deep learning for monocular depth estimation,
Reference 25
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Observation db81c18d-d3a9-4720-ac8d-86b51902f805 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Unsupervised deep event stereo for depth estima- tion,
Reference 26
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Observation fd202f80-3bd2-46bb-b49c-4d3a909cd8fb · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Self-supervised learning of PSMNet via generative adversarial networks,
Reference 27
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Observation 265140b0-6a6c-41ce-a3b9-f8126f49d019 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Self-Supervised Learning for Stereo Matching with Self-Improving Ability
Reference 28
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Observation 27c3215a-0c37-4f61-8b03-eb06e013e529 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Occlusion aware stereo matching via coopera- tive unsupervised learning,
Reference 29
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Observation 605c0005-ea3b-4a9f-84ae-481f4844b20f · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Unsupervised occlusion-aware stereo matching with directed disparity smoothing,
Reference 30
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Observation b88115a2-591e-4613-b69d-9eba8ade5485 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Co-Teaching: An ark to unsupervised stereo matching,
Reference 31
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Observation 5b4de534-2728-4686-8d9e-f224a896b0fb · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Flow2Stereo: Effective self-supervised learning of optical flow and stereo matching,
Reference 32
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Observation 249ab55b-c075-44a9-83f7-5430ea816c54 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching On the confidence of stereo matching in a deep-learning era: a quantitative evaluation,
Reference 33
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Observation f9dab284-5216-430f-9d79-b0551319262d · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching A quantitative evaluation of confidence measures for stereo vision,
Reference 34
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Observation b9a5db76-0b34-4784-a190-466943a394cb · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Quantitative evaluation of confidence measures in a machine learning world,
Reference 35
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Observation fd7828d1-0ae4-4632-b0ff-d1709527ed93 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Learning a general-purpose confidence measure based on O(1) features and a smarter aggregation strategy for semi global matching,
Reference 36
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Observation d9f4a014-1c6a-4f5a-9557-d4edfba10971 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Learning a confidence measure in the disparity domain from O(1) features,
Reference 37
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Observation d919c29a-c14a-4fcd-95d1-82b80ae40c27 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Self-adapting confidence estimation for stereo,
Reference 38
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Observation 535c43b6-ad22-46d4-8435-d118281f854e · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Learning from scratch a confidence measure,
Reference 39
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Observation ed632dfd-88e3-4596-941f-59f27106ff4e · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Beyond local reasoning for stereo confidence estimation with deep learning,
Reference 40
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Observation 46fe7503-15dc-42f9-bd64-da7d488461c2 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching U-Net: Convolutional networks for biomedical image segmentation,
Reference 41
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Observation b1112fde-da5d-49d9-b15d-2212b965f89c · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Learning the distribution of errors in stereo matching for joint disparity and uncertainty estimation,
Reference 42
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Observation 7f38cc37-9744-4d1a-8637-a92174fa2462 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Learning confidence measures in the wild,
Reference 43
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Observation a047a061-f511-463a-9d10-195598ddd574 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Learning and selecting confidence measures for robust stereo matching,
Reference 44
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Observation c754def2-4d4b-4a66-88a6-69e00293105d · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Using self-contradiction to learn confidence mea- sures in stereo vision,
Reference 45
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Observation 49af5ce7-653e-4476-a256-a8e79a20bc75 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Vision Transformer adapter for dense predictions,
Reference 46
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Observation 63d593fe-a2a3-4bb8-af7f-ba8dcf47ef87 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Depth Anything V2,
Reference 47
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Observation 87ba1fe2-2e4b-4b64-bc4b-d000c9bad504 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Segment anything,
Reference 48
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Observation 6b3116c2-0a8f-4566-9946-c76346328b7f · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Depth Anything: Unleashing the power of large- scale unlabeled data,
Reference 49
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Observation 9d4eaef7-7179-4aba-bf8d-5fa1514dfee6 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Stereo without epipolar lines: A maximum-flow formulation,
Reference 50
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Observation 076065ef-4035-431c-a939-11df17488840 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching These maps are made by propagation: Adapting deep stereo networks to road scenarios with decisive disparity diffusion,
Reference 51
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Observation 85b94d9d-60e1-45db-a476-3711cf194422 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching PVStereo: Pyramid voting module for end-to-end self- supervised stereo matching,
Reference 52
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Observation 4cbc0620-0706-4efa-b3d6-d16aa2f41f4a · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Image quality assessment: from error visibility to structural similarity,
Reference 53
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Observation c7a49894-52e2-4101-bc8c-269d6d965954 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation,
Reference 54
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Observation a2c65546-44a9-4ac5-b50f-98972dc6ba09 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Virtual KITTI 2
Reference 55
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Observation 59d8d695-4dd9-4391-9f7c-35a38233e9ca · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Are we ready for autonomous driving? the KITTI vision benchmark suite,
Reference 56
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Observation eeb15e91-ae1b-4b22-9b47-2f04caca80dc · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Object scene flow for autonomous vehicles,
Reference 57
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Observation 4d006479-0b64-4d45-8707-1d3f949c34f4 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching High-resolution stereo datasets with subpixel- accurate ground truth,
Reference 58
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Observation 7d714b95-ae31-4b58-8fb6-fc6bad701029 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching A multi-view stereo benchmark with high-resolution images and multi-camera videos,
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Observation e1b5c58a-8290-4562-afd8-258d1b557df0 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Iterative geometry encoding volume for stereo matching,
Reference 60
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Observation 607fd21d-fb2f-4fd4-aa09-22534a1d4ed9 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Practical stereo matching via cascaded recurrent network with adaptive correlation,
Reference 61
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Observation d6f479a9-a2f0-4578-883d-8bd73d75252f · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching A permutation model for the self- supervised stereo matching problem,
Reference 62
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Observation e0db2287-7c4d-44cb-b501-96b229cba92a · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Parallax attention for unsupervised stereo correspon- dence learning,
Reference 63
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Observation 1916aacb-a1a2-4bbe-973d-afd72a3aab80 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching Adaptive cost volume representation for unsuper- vised high-resolution stereo matching,
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Observation c5fe7161-7977-487a-b975-9997a9217791 · outbound
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching A novel cell structure-based disparity estimation for unsupervised stereo matching,
Reference 65
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No inbound Pith citation observations are available.