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InStereo2K: a large real dataset for stereo matching in indoor scenes

https://doi.org/10.1007/s11432-019-2803-x
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01267-0_35openalex-snapshot
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction
inferredcites →https://doi.org/10.1007/978-3-319-11752-2_3openalex-snapshot
High-Resolution Stereo Datasets with Subpixel-Accurate Ground Truth
inferredcites →https://doi.org/10.1007/978-3-319-46484-8_29openalex-snapshot
Stacked Hourglass Networks for Human Pose Estimation
inferredcites →https://doi.org/10.1007/978-3-642-33783-3_44openalex-snapshot
A Naturalistic Open Source Movie for Optical Flow Evaluation
inferredcites →https://doi.org/10.1007/s11263-018-1082-6openalex-snapshot
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
inferredcites →https://doi.org/10.1007/s11432-017-9473-5openalex-snapshot
Effectively modeling piecewise planar urban scenes based on structure priors and CNN
inferredcites →https://doi.org/10.1016/j.patrec.2019.08.016openalex-snapshot
3D object recognition and pose estimation for random bin-picking using Partition Viewpoint Feature Histograms
inferredcites →https://doi.org/10.1023/a:1014573219977openalex-snapshot
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
inferredcites →https://doi.org/10.1109/cvpr.2003.1211354openalex-snapshot
High-accuracy stereo depth maps using structured light
inferredcites →https://doi.org/10.1109/cvpr.2007.383191openalex-snapshot
Learning Conditional Random Fields for Stereo
inferredcites →https://doi.org/10.1109/cvpr.2012.6248074openalex-snapshot
Are we ready for autonomous driving? The KITTI vision benchmark suite
inferredcites →https://doi.org/10.1109/cvpr.2015.7298925openalex-snapshot
Object scene flow for autonomous vehicles
inferredcites →https://doi.org/10.1109/cvpr.2016.352openalex-snapshot
The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes
inferredcites →https://doi.org/10.1109/cvpr.2016.438openalex-snapshot
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
inferredcites →https://doi.org/10.1109/cvpr.2016.614openalex-snapshot
Efficient Deep Learning for Stereo Matching
inferredcites →https://doi.org/10.1109/cvpr.2017.272openalex-snapshot
A Multi-view Stereo Benchmark with High-Resolution Images and Multi-camera Videos
inferredcites →https://doi.org/10.1109/cvpr.2017.730openalex-snapshot
Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning
inferredcites →https://doi.org/10.1109/cvpr.2018.00297openalex-snapshot
Learning for Disparity Estimation Through Feature Constancy
inferredcites →https://doi.org/10.1109/cvpr.2018.00567openalex-snapshot
Pyramid Stereo Matching Network
inferredcites →https://doi.org/10.1109/cvpr.2019.00027openalex-snapshot
GA-Net: Guided Aggregation Net for End-To-End Stereo Matching
inferredcites →https://doi.org/10.1109/cvpr.2019.00997openalex-snapshot
Unsupervised Primitive Discovery for Improved 3D Generative Modeling
inferredcites →https://doi.org/10.1109/iccv.2017.17openalex-snapshot
End-to-End Learning of Geometry and Context for Deep Stereo Regression
inferredcites →https://doi.org/10.1109/iccvw.2011.6130280openalex-snapshot
On building an accurate stereo matching system on graphics hardware
inferredcites →https://doi.org/10.1109/tip.2019.2903318openalex-snapshot
Segment-Based Disparity Refinement With Occlusion Handling for Stereo Matching
inferredcites →https://doi.org/10.1109/tpami.2015.2389824openalex-snapshot
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
inferredcites →https://doi.org/10.1109/tpami.2019.2928550openalex-snapshot
Stereo Matching Using Multi-Level Cost Volume and Multi-Scale Feature Constancy
inferredcites →https://doi.org/10.1364/ao.46.000036openalex-snapshot
Generic nonsinusoidal phase error correction for three-dimensional shape measurement using a digital video projector
inferredcites →https://doi.org/10.1364/oe.22.001287openalex-snapshot
Absolute three-dimensional shape measurement using coded fringe patterns without phase unwrapping or projector calibration
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1703.04309openalex-snapshot
End-to-End Learning of Geometry and Context for Deep Stereo Regression

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4485388openalex-extracted
Real-Time Stereo Matching Networks Based on Multi-Modal and Sparse-Dense Fusion
inferred← citeshttps://doi.org/10.1007/978-3-031-73027-6_24openalex-snapshot
Match-Stereo-Videos: Bidirectional Alignment for Consistent Dynamic Stereo Matching
inferred← citeshttps://doi.org/10.1007/978-3-031-73242-3_27openalex-snapshot
Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model
inferred← citeshttps://doi.org/10.1007/978-3-032-37132-4_30openalex-snapshot
Controllable Generative Reference for Stereo Image Compression via Reliability-Aware Gating
inferred← citeshttps://doi.org/10.1007/978-981-16-2199-4_2openalex-snapshot
Privacy Issues in Edge Computing
inferred← citeshttps://doi.org/10.1007/978-981-95-5702-8_32openalex-snapshot
AMDIC: Adaptive Multi-Granularity Joint Context Transfer for Distributed Image Coding
inferred← citeshttps://doi.org/10.1007/s00371-023-03002-wopenalex-snapshot
EBStereo: edge-based loss function for real-time stereo matching
inferred← citeshttps://doi.org/10.1007/s00371-025-04174-3openalex-snapshot
Learning RGBD imaging via asymmetrically focused stereo cameras
inferred← citeshttps://doi.org/10.1007/s11042-024-20382-wopenalex-snapshot
Multi-modal CrossViT using 3D spatial information for visual localization
inferred← citeshttps://doi.org/10.1007/s11263-024-02331-0openalex-snapshot
A Survey on Deep Stereo Matching in the Twenties
inferred← citeshttps://doi.org/10.1007/s11760-025-04835-9openalex-snapshot
Optimized Census stereo matching algorithm for precise tomato localization in complex agricultural scenarios
inferred← citeshttps://doi.org/10.1007/s41064-023-00252-0openalex-snapshot
Guiding Deep Learning with Expert Knowledge for Dense Stereo Matching
inferred← citeshttps://doi.org/10.1007/s41095-022-0319-zopenalex-snapshot
Multi-task learning and joint refinement between camera localization and object detection
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111507openalex-snapshot
Enhancing road crack detection with Neural Architecture Seeks Large Neural Network: Leveraging deep learning and Augmented Minority Over-Sampling Technique on public and custom developed datasets
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122006openalex-snapshot
The application of deep learning in stereo matching and disparity estimation: A bibliometric review
inferred← citeshttps://doi.org/10.1016/j.jag.2024.103715openalex-snapshot
An evaluation of Deep Learning based stereo dense matching dataset shift from aerial images and a large scale stereo dataset
inferred← citeshttps://doi.org/10.1016/j.jksuci.2024.102228openalex-snapshot
Binocular camera-based visual localization with optimized keypoint selection and multi-epipolar constraints
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114062openalex-snapshot
GIP-Stereo : Geometry-aware information propagation network for stereo matching
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.109028openalex-snapshot
Differential feature guidance and compressed cost volume for large disparity stereo network
inferred← citeshttps://doi.org/10.1016/j.patcog.2021.108498openalex-snapshot
Uncertainty estimation for stereo matching based on evidential deep learning
inferred← citeshttps://doi.org/10.1016/j.patcog.2023.109660openalex-snapshot
Multi-stage information diffusion for joint depth and surface normal estimation
inferred← citeshttps://doi.org/10.1016/j.patcog.2023.109914openalex-snapshot
Visual camera relocalization using both hand-crafted and learned features
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.111749openalex-snapshot
Opinion-unaware blind stereoscopic image quality assessment: A comprehensive study
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.111799openalex-snapshot
FCA-Net: Accelerating stereo image compression through cascade alignment of side information
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.114076openalex-snapshot
GeoSIC: Geometric-aware stereo image compression via implicit 3D feature fields
inferred← citeshttps://doi.org/10.1088/1361-6501/aea630openalex-snapshot
Multi-dimensional image feature attention-based stereo vision measurement for close-range scenes
inferred← citeshttps://doi.org/10.1109/3dv62453.2024.00083openalex-snapshot
MC-Stereo: Multi-Peak Lookup and Cascade Search Range for Stereo Matching
inferred← citeshttps://doi.org/10.1109/cniot65435.2025.11071179openalex-snapshot
High-Accuracy 3D Reconstruction and Measurement of Flexible Surface Arrays
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00154openalex-snapshot
Deep Homography for Efficient Stereo Image Compression
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01231openalex-snapshot
Bilateral Grid Learning for Stereo Matching Networks
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00074openalex-snapshot
SASIC: Stereo Image Compression with Latent Shifts and Stereo Attention
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00179openalex-snapshot
Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01578openalex-snapshot
Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01215openalex-snapshot
Infinite Photorealistic Worlds Using Procedural Generation
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.02062openalex-snapshot
OmniVidar: Omnidirectional Depth Estimation from Multi-Fisheye Images
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01863openalex-snapshot
Selective-Stereo: Adaptive Frequency Information Selection for Stereo Matching
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01867openalex-snapshot
LoS: Local Structure-Guided Stereo Matching
inferred← citeshttps://doi.org/10.1109/cvpr52734.2025.02036openalex-snapshot
DEFOM-Stereo: Depth Foundation Model Based Stereo Matching
inferred← citeshttps://doi.org/10.1109/cvprf71909.2026.00005openalex-snapshot
BLMT-Stereo: Breaking the Local Minima Trap of Iterative Stereo Matching
inferred← citeshttps://doi.org/10.1109/cvprw63382.2024.00069openalex-snapshot
Semi-Stereo: A Universal Stereo Matching Framework for Imperfect Data via Semi-supervised Learning
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.00307openalex-snapshot
Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching
inferred← citeshttps://doi.org/10.1109/iccv51701.2025.02467openalex-snapshot
Towards Open-World Generation of Stereo Images and Unsupervised Matching
inferred← citeshttps://doi.org/10.1109/icip42928.2021.9506036openalex-snapshot
Deep Color Mismatch Correction In Stereoscopic 3d Images
inferred← citeshttps://doi.org/10.1109/icip51287.2024.10647686openalex-snapshot
Confidence Aware Stereo Matching for Realistic Cluttered Scenario
inferred← citeshttps://doi.org/10.1109/icip61757.2026.11630409openalex-snapshot
Non-Learning Low-Light Stereo Vision
inferred← citeshttps://doi.org/10.1109/icsp62122.2024.10743998openalex-snapshot
UI-Net: Union Intersection Network for Stereoscopic Image Separation
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650674openalex-snapshot
BSSIC: Stereo Image Compression Based on Block Shift
inferred← citeshttps://doi.org/10.1109/ipta59101.2023.10320041openalex-snapshot
RWU3D: Real World ToF and Stereo Dataset with High Quality Ground Truth
inferred← citeshttps://doi.org/10.1109/iros60139.2025.11246574openalex-snapshot
Self-Distilled Stereo Matching: Real-Time Domain Generalization for Robotic Depth Perception
inferred← citeshttps://doi.org/10.1109/ismar59233.2023.00022openalex-snapshot
Scene-independent Localization by Learning Residual Coordinate Map with Cascaded Localizers
inferred← citeshttps://doi.org/10.1109/lwc.2026.3667169openalex-snapshot
Twin Fused Semantic Communication for Image Transmission With Equalization
inferred← citeshttps://doi.org/10.1109/m2vip62491.2024.10746084openalex-snapshot
Research on binocular vision image matching method based on improved wavelet threshold function
inferred← citeshttps://doi.org/10.1109/rcar65431.2025.11139590openalex-snapshot
Real-time Stereo Matching Networks based on Multi-modal and Sparse-dense Fusion*
inferred← citeshttps://doi.org/10.1109/smc54092.2024.10831914openalex-snapshot
Monocular Ranging Based on Camera Pose in Visual Train Positioning
inferred← citeshttps://doi.org/10.1109/tccn.2024.3438371openalex-snapshot
Content Adaptive Distributed Joint Source-Channel Coding for Image Transmission With Hyperprior
inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3253702openalex-snapshot
MASIC: Deep Mask Stereo Image Compression
inferred← citeshttps://doi.org/10.1109/tpami.2025.3569218openalex-snapshot
IGEV++: Iterative Multi-Range Geometry Encoding Volumes for Stereo Matching
inferred← citeshttps://doi.org/10.1109/tpami.2025.3598340openalex-snapshot
Learned Off-Aperture Encoding for Wide Field-of-View RGBD Imaging
inferred← citeshttps://doi.org/10.1109/tpami.2026.3708185openalex-snapshot
MonSter++: Unified Stereo Matching, Multi-View Stereo, and Real-Time Stereo With Monodepth Priors
inferred← citeshttps://doi.org/10.1109/vr55154.2023.00041openalex-snapshot
Simultaneous Scene-independent Camera Localization and Category-level Object Pose Estimation via Multi-level Feature Fusion
inferred← citeshttps://doi.org/10.1109/wacv57701.2024.00340openalex-snapshot
ECSIC: Epipolar Cross Attention for Stereo Image Compression
inferred← citeshttps://doi.org/10.1109/wacv57701.2024.00852openalex-snapshot
Stereo Matching in Time: 100+ FPS Video Stereo Matching for Extended Reality
inferred← citeshttps://doi.org/10.1111/raq.12919openalex-snapshot
Advances in the application of stereo vision in aquaculture with emphasis on fish: A review
inferred← citeshttps://doi.org/10.1145/3503161.3548136openalex-snapshot
Disparity-based Stereo Image Compression with Aligned Cross-View Priors
inferred← citeshttps://doi.org/10.1145/3680207.3765238openalex-snapshot
FocusX: All-in-Focus Image Synthesis for Dynamic Scenes on Mobile Devices
inferred← citeshttps://doi.org/10.1145/3746027.3756882openalex-snapshot
OpenMVC: An Open-Source Library for Learning-based Multi-view Compression
inferred← citeshttps://doi.org/10.1364/cosi.2025.cth1b.2openalex-snapshot
Enabling Wide Field-of-View Imaging via Jointly Learned Off-aperture Encoding
inferred← citeshttps://doi.org/10.3390/agriculture13020330openalex-snapshot
PlantStereo: A High Quality Stereo Matching Dataset for Plant Reconstruction
inferred← citeshttps://doi.org/10.3390/app14010159openalex-snapshot
Non-Local Means Hole Repair Algorithm Based on Adaptive Block
inferred← citeshttps://doi.org/10.3390/app152312663openalex-snapshot
Training Data for Stereo Matching Algorithms Based on Neural Networks and a Method for Data Evaluation
inferred← citeshttps://doi.org/10.3390/jimaging7080160openalex-snapshot
A Benchmark Evaluation of Adaptive Image Compression for Multi Picture Object Stereoscopic Images
inferred← citeshttps://doi.org/10.3390/s23249850openalex-snapshot
Unsupervised Stereo Matching with Surface Normal Assistance for Indoor Depth Estimation
inferred← citeshttps://doi.org/10.3390/s25061850openalex-snapshot
A Rapid Deployment Method for Real-Time Water Surface Elevation Measurement
inferred← citeshttps://doi.org/10.3788/aos250836openalex-snapshot
注意力引导匹配的双目多聚焦图像融合方法
inferred← citeshttps://doi.org/10.3788/lop230457openalex-snapshot
双目立体视觉研究进展与应用
inferred← citeshttps://doi.org/10.3788/lop250848openalex-snapshot
动态多尺度融合的改进AD-Census立体匹配方法
inferred← citeshttps://doi.org/10.48550/arxiv.2111.15192openalex-snapshot
PlantStereo: A Stereo Matching Benchmark for Plant Surface Dense Reconstruction
inferred← citeshttps://doi.org/10.5194/isprs-annals-v-2-2022-69-2022openalex-snapshot
JOINT ESTIMATION OF DEPTH AND ITS UNCERTAINTY FROM STEREO IMAGES USING BAYESIAN DEEP LEARNING
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