Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-26T08:33:27.351106Z
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2606.23152.
A citation records a reference. It does not transfer a finding from one paper to another.
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Source: paper_references, paper_reference_links, observed 2026-06-26T08:33:27.351106Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
72 of 72 outbound references displayed
External citation measurements
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Observation 8438306d-ad10-4b2b-816a-72806b28d0e2 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Ancuti, Cosmin Ancuti, Mateu Sbert, and Radu Timofte
Reference 1
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Observation 7b8e27af-f951-4e98-910f-2b243ec46946 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Robot active vision-based path planning for localization improvement in indoor environments
Reference 2
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Observation b6bc2015-d6a4-4e33-bdf0-e78fdc8dcfe2 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization
Reference 3
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Observation f7a771f0-a816-4b2d-81d2-fd566f385d3d · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
Reference 4
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Observation 72bbaf0c-081b-473e-8639-e9ad3c393c7f · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth, 2023
Reference 5
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Observation 61c6f306-a8d9-4231-a8d3-3800b74f24c6 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather
Reference 6
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Observation 3b2e83dd-24f3-4c58-9712-faa9aa8748e4 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Depth Pro: Sharp Monocular Metric Depth in Less Than a Second
Reference 7
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Observation 05ae8cc3-b3fa-46d9-81f0-aa5ca38478a5 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments MoCha-Stereo: Motif Channel Attention Network for Stereo Matching
Reference 8
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Observation 90c4bba5-4603-4739-94d6-9688d1556673 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Unsupervised confidence for LiDAR depth maps and applications
Reference 9
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Observation a15387cc-4b3a-4510-beb3-23fb2d9b0a2f · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Deformation measurement of tunnel shotcrete liner using the multiepoch LiDAR point clouds.Jour- nal of Construction Engineering and Management, 150(6):04024049, 2024
Reference 10
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Observation 06c386cc-fd3e-4399-905f-b32b198e46cf · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments A virtual construction vehicles and workers dataset with three-dimensional annotations.Engineering Applications of Artificial Intelligence, 133:107964, 2024
Reference 11
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Observation e65aa84f-5f48-4ad0-8f53-7eeeb3f3c527 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments AREPO: Uncertainty-Aware Robot Ensemble Learning Under Ex- treme Partial Observability.IEEE Robotics and Automation Letters, 10(6):5737–5744, 2025
Reference 12
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Observation 3ad0a6d0-d42b-4ed5-9580-0fdad1147cfb · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Indoor FireRes- cue Radar: 4D Indoor Millimeter Wave Dataset and Analysis for Hazardous Environment Perception
Reference 13
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Observation 46787dd6-84ad-4b78-8f6a-9882c173282a · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Reference 14
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Observation 003ae776-147c-428d-bc82-c5ee76eb903d · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Vision meets Robotics: The KITTI Dataset.International Journal of Robotics Research (IJRR), 2013
Reference 15
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Observation 4219cd57-2b5e-4e6b-83c7-2be289f3cc8c · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments SteeredMarigold: Steering Diffusion Towards Depth Completion of Largely Incomplete Depth Maps
Reference 16
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Observation d0edc6d6-c794-4a6d-be64-8e50f0856fc8 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Need for Speed: Zero-Shot Depth Completion with Single-Step Diffusion, 2026
Reference 17
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Observation 2a481cf8-937b-44a9-8064-d7a856889d38 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching
Reference 18
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Observation 426767d9-3fa3-441f-acdd-5be99c35df75 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Robotic Framework for Iterative and Adaptive Profile Grading of Sand
Reference 19
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Observation 3f39c443-956e-47e1-9ab8-415cc3ab6b17 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction
Reference 20
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Observation 50fe49b5-0e51-45e1-b278-34de9b41a3c5 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Hirschmuller
Reference 21
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Observation bd3da8f7-e493-469d-beaa-8fc5a35a2ee3 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments BuildingWorld: A Structured 3D Building Dataset for Urban Foundation Mod- els.Proceedings of the AAAI Conference on Artificial Intelligence, 40(7):5085–5094, Mar
Reference 22
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Observation f85bd1c5-6227-400f-84f4-5a6dea0866b5 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior.Proceedings of the AAAI Conference on Artificial Intelligence, 39(4):3877–3885, Apr
Reference 23
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Observation 0ad6a798-317d-4fa2-b723-6c2070665737 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Annotation Tool and Urban Dataset for 3D Point Cloud Semantic Segmentation.IEEE Access, 9:35984–35996, 2021
Reference 24
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Observation 9e99dfa1-6c0b-4206-838c-cdf218dc7675 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Test- Time Prompt Tuning for Zero-Shot Depth Completion
Reference 25
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Observation 660451cb-ef05-48d7-ad87-ed2994d926e4 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments DEFOM-Stereo: Depth Foundation Model Based Stereo Matching
Reference 26
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Observation e7fe2acc-09fb-44ec-8c8c-920ba5cc8f6e · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Semantic 3D Reconstruction for V olumetric Modeling of Defects in Construction Sites.Robotics, 13(7), 2024
Reference 27
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Observation 6eabe079-7f49-44e6-853e-5d1e635daf51 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Repurposing Diffusion- Based Image Generators for Monocular Depth Estimation
Reference 28
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Observation 08611102-fdb7-4b6a-8547-7b87f49739ff · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Depth Completion as Parameter-Efficient Test-Time Adaptation, 2026
Reference 29
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Observation 6fe31bb4-ebe7-4f52-ad8b-ed16185fde95 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Seman- ticBridge—A dataset for 3D semantic segmentation of bridges and do- main gap analysis.Developments in the Built Environment, 26:100912, 2026
Reference 30
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Observation 5a63608e-62b6-49bc-ad6a-31203a932366 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments End-To-End Learning of Geometry and Context for Deep Stereo Regression
Reference 31
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Observation 6609bc83-be53-4f3c-bb81-c3d2c142b83d · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Evaluation of CNN-based Single-Image Depth Estimation Methods
Reference 32
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Observation 9a6e5f27-d64c-4881-9ddc-bca748686c9d · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Unresolved cited work
Reference 33
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Observation e2e934af-319c-4adb-8a81-02bcc6567d31 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments ConPR: Ongoing Construction Site Dataset for Place Recognition, 2024
Reference 34
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Observation 119783e1-a9c8-4a9c-8a5b-4104ebd6d9c4 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Distilling Monocular Foundation Model for Fine-grained Depth Completion
Reference 35
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Observation c867976c-c2aa-487c-a51a-f2e7f31ff3f4 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Any-stereo: Arbitrary scale disparity estimation for iterative stereo matching
Reference 36
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Observation 92cd4d52-25bc-4546-a7da-dbcd533429ca · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Chen, Zhenyu Li, Guang Shi, Jiashi Feng, and Bingyi Kang
Reference 37
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Observation 2e9af014-f951-48de-979f-7b876060561c · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Depth Anything 3: Recovering the Visual Space from Any Views
Reference 38
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Observation 4d6ccfdb-8c22-4f7f-ac12-6d524bd938fa · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation
Reference 39
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Observation 0273a053-a6ed-411b-af92-8a788c84210d · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching
Reference 40
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Observation 74dfc6fa-1d5b-49fd-913e-e3a4674033a3 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
Reference 41
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Observation 753ad4e2-b652-44ca-8825-5e0bc033bef5 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Sirakoulis, and Antonios Gaster- atos
Reference 42
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Observation 18573609-853e-4af9-b0e8-a8abab8096e9 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments DINOv2: Learning Robust Visual Features without Supervision, 2024
Reference 43
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Observation 58a20aa2-a28a-4b32-9346-5ea44ad26011 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments SharpDepth: Sharpening Metric Depth Predictions Using Diffusion Distillation
Reference 44
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Observation c6db3b2a-0602-455d-8769-941ccf9724cb · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler.IEEE Transac- tions on Pattern Analysis and Machine Intelligence, 48(3):2354–2367, 2026
Reference 45
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Observation e0c95628-7451-49e6-971c-0cee6f4616e7 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments UniDepth: Universal Monocular Metric Depth Estimation
Reference 46
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Observation 637d3f0d-120b-406c-97f5-5a2056ec8baf · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Unresolved cited work
Reference 47
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Observation e54efb27-b5f3-48dc-8776-c314d03d9511 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments A Virtual Reality-Based Learning Environment for Human—Robot Collaboration Training in Construction 4.0
Reference 48
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Observation 7d76c5cb-71eb-4007-b640-f133aa651639 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Towards autonomous shotcrete construction: semantic 3D reconstruction for concrete deposition using stereo vision and deep learning
Reference 49
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Observation ca1090ad-96b0-4163-8092-d0410ebbbabb · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Segmentation dataset for reinforced concrete construction.Automation in Construction, 171:105990, 2025
Reference 50
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Observation a60d3590-7a32-45b4-a9c5-eaf75547b881 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Efficient Test-Time Optimization for Depth Completion via Low-Rank Decoder Adaptation, 2026
Reference 51
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Observation c3b9a861-14f4-459c-8c48-3a2314459112 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments CFNet: Cascade and Fused Cost V olume for Robust Stereo Matching
Reference 52
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Observation 1e60ca9a-52b7-4059-9ec6-b2f9fd229827 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments PCW-Net: Pyramid Combination and Warping Cost V olume for Stereo Matching
Reference 53
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Observation 5928d5ed-e423-4977-b6cf-a18ff9fb4efd · outbound
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Reference 54
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Observation a56ab1ed-41ed-4dcd-97a6-5b3c3eca7ac4 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments ConSLAM: Periodically Collected Real-World Construction Dataset for SLAM and Progress Monitoring
Reference 55
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Observation 5c2552da-b01f-49a9-a63e-793800af2450 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion
Reference 56
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Observation 17d6432b-8d82-4a29-bf9e-951c44a14dac · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
Reference 57
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Observation 5fe6ad87-f507-4ebc-a81a-bf36414ec567 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details
Reference 58
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Observation 8848bbe4-486c-432d-bda0-a54a15c60d74 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Croco v2: Improved cross- view completion pre-training for stereo matching and optical flow
Reference 59
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Observation 1bf4079d-abe5-4db5-9cbc-3b97b0279335 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments FoundationStereo: Zero-Shot Stereo Matching
Reference 60
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Observation 62cf502d-db1c-4173-b12c-7d656fe20bc2 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Advancing robotic automation in wood- framed construction using vision-driven adaptive control.Automation in Construction, 185:106858, 2026
Reference 61
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Observation d6ad83bf-7a61-48e1-892f-f094812c12fb · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Pixel- Perfect Depth with Semantics-Prompted Diffusion Transformers, 2025
Reference 62
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Reference 63
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Observation 96d6663b-3f2b-40be-a5ce-ee711da2c0db · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments AANet: Adaptive Aggregation Network for Efficient Stereo Matching
Reference 64
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Observation c9d71e12-e3f5-4e00-a147-497d71971c29 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Reference 65
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Observation 5cd4e0ff-b5fb-48cd-9b04-773bc6e6425e · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Depth Anything V2
Reference 66
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Observation b275b96a-cccf-4096-991f-ac1c04a6a9a1 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Physics-based particle system modeling of shotcrete process for robotic placement.Construction Robotics, 9(2):30, 2025
Reference 67
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Observation 3fa42c8e-ab7f-457c-8426-7b72d646d55a · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments From Human to Height-Field: Predictive Shotcrete Simulation with a Physics-Informed Particle System
Reference 68
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Observation aa65087f-3b7b-420f-b784-9424d8ae55f0 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Metric3D: Towards Zero- shot Metric 3D Prediction from A Single Image
Reference 69
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Observation c0b4a35d-3ab8-46ff-b8fb-35c101a633d2 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments BetterDepth: Plug-and-Play Diffusion Refiner for Zero- Shot Monocular Depth Estimation
Reference 70
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Observation 5ab03d8d-ea80-4fd5-8cb1-fbb2fd63d1ba · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations
Reference 71
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Observation 67df0a9e-b69e-4389-8d98-b2ec3fbe52a0 · outbound
ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Inte- gration
Reference 72
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