mlsanityData to 14 Oct 2026

LocalBins: Improving Depth Estimation by Learning Local Distributions

arXiv 2203.15132 ↗First posted 28 Mar 2022cs.CVcited by 94

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Abstract (arXiv)

We propose a novel architecture for depth estimation from a single image. The architecture itself is based on the popular encoder-decoder architecture that is frequently used as a starting point for all dense regression tasks. We build on AdaBins which estimates a global distribution of depth values for the input image and evolve the architecture in two ways. First, instead of predicting global depth distributions, we predict depth distributions of local neighborhoods at every pixel. Second, instead of predicting depth distributions only towards the end of the decoder, we involve all layers of the decoder. We call this new architecture LocalBins. Our results demonstrate a clear improvement over the state-of-the-art in all metrics on the NYU-Depth V2 dataset. Code and pretrained models will be made publicly available.

Key facts. Cited by 94 papers in the map (data through 14 Oct 2026). Builds on 34 of its 46 references that are in the map. First posted on arXiv 28 Mar 2022.

Builds on

34 of 46 references.

References · 34

  1. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,305
  2. 2017Mask R-CNNcited by 7,277
  3. 2021Vision Transformers for Dense Predictioncited by 1,803
  4. 2019Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfercited by 1,495
  5. 2014Depth Map Prediction from a Single Image using a Multi-Scale Deep Networkcited by 1,274
  6. 2016Unsupervised Monocular Depth Estimation with Left-Right Consistencycited by 820
  7. 2017Unsupervised Learning of Depth and Ego-Motion from Videocited by 782
  8. 2018MegaDepth: Learning Single-View Depth Prediction from Internet Photoscited by 737
  9. 2018Deep Ordinal Regression Network for Monocular Depth Estimationcited by 723
  10. 2020AdaBins: Depth Estimation using Adaptive Binscited by 601
  11. 2016Deeper Depth Prediction with Fully Convolutional Residual Networkscited by 403
  12. 2019From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimationcited by 382
22 more
  1. 2019Enforcing geometric constraints of virtual normal for depth predictioncited by 234
  2. 2021The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depthcited by 190
  3. 2019Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Camerascited by 170
  4. 2018Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundariescited by 145
  5. 2018Evaluation of CNN-based Single-Image Depth Estimation Methodscited by 138
  6. 2018High Quality Monocular Depth Estimation via Transfer Learningcited by 133
  7. 2020CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistencycited by 107
  8. 2020Unsupervised Monocular Depth Learning in Dynamic Scenescited by 84
  9. 2020Guiding Monocular Depth Estimation Using Depth-Attention Volumecited by 82
  10. 2018Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimationcited by 78
  11. 2016Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networkscited by 73
  12. 2017Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimationcited by 70
  13. 2021Self-Supervised Monocular Depth Estimation with Internal Feature Fusioncited by 67
  14. 2019Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimationcited by 61
  15. 2019SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimationcited by 59
  16. 2022Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepthcited by 58
  17. 2019Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semanticscited by 49
  18. 2019Structure-Aware Residual Pyramid Network for Monocular Depth Estimationcited by 49
  19. 2018Detail Preserving Depth Estimation from a Single Image Using Attention Guided Networkscited by 31
  20. 2019Unsupervised Domain Adaptation for Depth Prediction from Imagescited by 29
  21. 2020Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimationcited by 17
  22. 2021Self-Supervised Learning of Domain Invariant Features for Depth Estimationcited by 9

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 2; 2023: 23; 2024: 31; 2025: 19; 2026: 19.

94 papers.

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  1. 2023ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depthcited by 657
  2. 2024Depth Pro: Sharp Monocular Metric Depth in Less Than a Secondcited by 404
  3. 2023MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimationcited by 174
  4. 2024DepthFM: Fast Monocular Depth Estimation with Flow Matchingcited by 76
  5. 2024Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimationcited by 74
  6. 2023iDisc: Internal Discretization for Monocular Depth Estimationcited by 73
  7. 2023IEBins: Iterative Elastic Bins for Monocular Depth Estimationcited by 54
  8. 2023All in Tokens: Unifying Output Space of Visual Tasks via Soft Tokencited by 52
  9. 2024ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimationcited by 45
  10. 2024EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Cameracited by 43
  11. 2022PlaneDepth: Self-supervised Depth Estimation via Orthogonal Planescited by 32
  12. 2023FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimatorscited by 31
38 more
  1. 2023Prompting Diffusion Representations for Cross-Domain Semantic Segmentationcited by 30
  2. 2023Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Modelcited by 29
  3. 2024DepthLab: From Partial to Completecited by 27
  4. 2023Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTVcited by 21
  5. 2025Multi-view Reconstruction via SfM-guided Monocular Depth Estimationcited by 20
  6. 2023Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Samplingcited by 19
  7. 2025DepthMaster: Taming Diffusion Models for Monocular Depth Estimationcited by 19
  8. 2024ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimationcited by 15
  9. 2023PolyMaX: General Dense Prediction with Mask Transformercited by 14
  10. 2023EVP: Enhanced Visual Perception using Inverse Multi-Attentive Feature Refinement and Regularized Image-Text Alignmentcited by 14
  11. 2023The Second Monocular Depth Estimation Challengecited by 12
  12. 2024Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoningcited by 12
  13. 2024EndoOmni: Zero-Shot Cross-Dataset Depth Estimation in Endoscopy by Robust Self-Learning from Noisy Labelscited by 12
  14. 2024DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domaincited by 12
  15. 2024HybridDepth: Robust Metric Depth Fusion by Leveraging Depth from Focus and Single-Image Priorscited by 11
  16. 2022SfM-TTR: Using Structure from Motion for Test-Time Refinement of Single-View Depth Networkscited by 10
  17. 2024The Third Monocular Depth Estimation Challengecited by 10
  18. 2026MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sourcescited by 10
  19. 2023NDDepth: Normal-Distance Assisted Monocular Depth Estimation and Completioncited by 9
  20. 2024Scalable Autoregressive Monocular Depth Estimationcited by 9
  21. 2023HTC-DC Net: Monocular Height Estimation from Single Remote Sensing Imagescited by 8
  22. 2025The Fourth Monocular Depth Estimation Challengecited by 8
  23. 2023FS-Depth: Focal-and-Scale Depth Estimation from a Single Image in Unseen Indoor Scenecited by 7
  24. 2024PCDepth: Pattern-based Complementary Learning for Monocular Depth Estimation by Best of Both Worldscited by 7
  25. 2024Kick Back & Relax++: Scaling Beyond Ground-Truth Depth with SlowTV & CribsTVcited by 7
  26. 2024A Simple yet Effective Test-Time Adaptation for Zero-Shot Monocular Metric Depth Estimationcited by 6
  27. 2025Metric-Solver: Sliding Anchored Metric Depth Estimation from a Single Imagecited by 6
  28. 2023Virtual Occlusions Through Implicit Depthcited by 5
  29. 2024Amodal Depth Anything: Amodal Depth Estimation in the Wildcited by 5
  30. 2025PatchRefiner V2: Fast and Lightweight Real-Domain High-Resolution Metric Depth Estimationcited by 5
  31. 2025A Survey on Ordinal Regression: Applications, Advances and Prospectscited by 5
  32. 2025EgoDTM: Towards 3D-Aware Egocentric Video-Language Pretrainingcited by 5
  33. 2023Mitigating Perspective Distortion-induced Shape Ambiguity in Image Cropscited by 4
  34. 2024Scale-Invariant Monocular Depth Estimation via SSI Depthcited by 4
  35. 2024TanDepth: Leveraging Global DEMs for Metric Monocular Depth Estimation in UAVscited by 4
  36. 2024DepthART: Monocular Depth Estimation as Autoregressive Refinement Taskcited by 4
  37. 2023Meta-Optimization for Higher Model Generalizability in Single-Image Depth Predictioncited by 3
  38. 2023Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictorscited by 3

50 most cited of 94 All 94 (JSON)