mlsanityData to 7 Oct 2026

DCVSMNet: Double Cost Volume Stereo Matching Network

arXiv 2402.16473 ↗First posted 26 Feb 2024cs.CVcited by 3

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Abstract (arXiv)

We introduce Double Cost Volume Stereo Matching Network(DCVSMNet) which is a novel architecture characterised by by two small upper (group-wise) and lower (norm correlation) cost volumes. Each cost volume is processed separately, and a coupling module is proposed to fuse the geometry information extracted from the upper and lower cost volumes. DCVSMNet is a fast stereo matching network with a 67 ms inference time and strong generalization ability which can produce competitive results compared to state-of-the-art methods. The results on several bench mark datasets show that DCVSMNet achieves better accuracy than methods such as CGI-Stereo and BGNet at the cost of greater inference time.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 40 of its 60 references that are in the map. First posted on arXiv 26 Feb 2024.

Builds on

40 of 60 references.

References · 40

  1. 2018MobileNetV2: Inverted Residuals and Linear Bottleneckscited by 4,773
  2. 2014Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translationcited by 4,016
  3. 2016DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFscited by 3,239
  4. 2017PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volumecited by 966
  5. 2015A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimationcited by 878
  6. 2018Pyramid Stereo Matching Networkcited by 486
  7. 2016Optical Flow Estimation using a Spatial Pyramid Networkcited by 421
  8. 2017End-to-End Learning of Geometry and Context for Deep Stereo Regressioncited by 359
  9. 2021RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matchingcited by 348
  10. 2019GA-Net: Guided Aggregation Net for End-to-end Stereo Matchingcited by 242
  11. 2019Group-wise Correlation Stereo Networkcited by 235
  12. 2020AANet: Adaptive Aggregation Network for Efficient Stereo Matchingcited by 202
28 more
  1. 2022Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlationcited by 197
  2. 2020Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformerscited by 190
  3. 2023Iterative Geometry Encoding Volume for Stereo Matchingcited by 188
  4. 2020Hierarchical Neural Architecture Search for Deep Stereo Matchingcited by 166
  5. 2021CFNet: Cascade and Fused Cost Volume for Robust Stereo Matchingcited by 153
  6. 2015Stereo Matching by Training a Convolutional Neural Network to Compare Image Patchescited by 151
  7. 2018Learning Depth with Convolutional Spatial Propagation Networkcited by 135
  8. 2022Attention Concatenation Volume for Accurate and Efficient Stereo Matchingcited by 130
  9. 2020HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matchingcited by 120
  10. 2019DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatchcited by 114
  11. 2019Domain-invariant Stereo Matching Networkscited by 108
  12. 2018StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Predictioncited by 88
  13. 2018SegStereo: Exploiting Semantic Information for Disparity Estimationcited by 88
  14. 2014Computing the Stereo Matching Cost with a Convolutional Neural Networkcited by 74
  15. 2022Accurate and Efficient Stereo Matching via Attention Concatenation Volumecited by 59
  16. 2018Anytime Stereo Image Depth Estimation on Mobile Devicescited by 54
  17. 2021Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitationcited by 47
  18. 2021Bilateral Grid Learning for Stereo Matching Networkscited by 46
  19. 2022Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspectivecited by 46
  20. 2022GraftNet: Towards Domain Generalized Stereo Matching with a Broad-Spectrum and Task-Oriented Featurecited by 43
  21. 2019EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detectioncited by 39
  22. 2021Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networkscited by 32
  23. 2021A Decomposition Model for Stereo Matchingcited by 25
  24. 2023ELFNet: Evidential Local-global Fusion for Stereo Matchingcited by 25
  25. 2019Real-Time Semantic Stereo Matchingcited by 23
  26. 2023CGI-Stereo: Accurate and Real-Time Stereo Matching via Context and Geometry Interactioncited by 17
  27. 2021SCV-Stereo: Learning Stereo Matching from a Sparse Cost Volumecited by 4
  28. 2020ADCPNet: Adaptive Disparity Candidates Prediction Network for Efficient Real-Time Stereo Matchingcited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 1; 2026: 1.

3 papers.

  1. 2024A Lightweight Target-Driven Network of Stereo Matching for Inland Waterwayscited by 0
  2. 2025ESMStereo: Enhanced ShuffleMixer Disparity Upsampling for Real-Time and Accurate Stereo Matchingcited by 0
  3. 2026Training Deep Stereo Matching Networks on Tree Branch Imagery: A Benchmark Study for Real-Time UAV Forestry Applicationscited by 0