mlsanityData to 7 Oct 2026

AdaBins: Depth Estimation using Adaptive Bins

arXiv 2011.14141 ↗First posted 28 Nov 2020cs.CVcited by 596

Not on the map. Why?

Cited by 41 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We address the problem of estimating a high quality dense depth map from a single RGB input image. We start out with a baseline encoder-decoder convolutional neural network architecture and pose the question of how the global processing of information can help improve overall depth estimation. To this end, we propose a transformer-based architecture block that divides the depth range into bins whose center value is estimated adaptively per image. The final depth values are estimated as linear combinations of the bin centers. We call our new building block AdaBins. Our results show a decisive improvement over the state-of-the-art on several popular depth datasets across all metrics. We also validate the effectiveness of the proposed block with an ablation study and provide the code and corresponding pre-trained weights of the new state-of-the-art model.

Key facts. Cited by 596 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Nov 2020.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 33; 2022: 96; 2023: 124; 2024: 149; 2025: 119; 2026: 75.

596 papers.

Sort:

By area:

  1. 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,764
  2. 2024Depth Anything V2cited by 1,385
  3. 2024Depth Anything: Unleashing the Power of Large-Scale Unlabeled Datacited by 1,346
  4. 2023ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depthcited by 646
  5. 2022BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detectioncited by 568
  6. 2024Depth Pro: Sharp Monocular Metric Depth in Less Than a Secondcited by 395
  7. 2024Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimationcited by 389
  8. 2024UniDepth: Universal Monocular Metric Depth Estimationcited by 375
  9. 2021MonoScene: Monocular 3D Semantic Scene Completioncited by 357
  10. 2023Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Imagecited by 357
  11. 2023Repurposing Diffusion-Based Image Generators for Monocular Depth Estimationcited by 323
  12. 2023SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Drivingcited by 310
38 more
  1. 2023VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completioncited by 306
  2. 2024MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervisioncited by 290
  3. 2023Unleashing Text-to-Image Diffusion Models for Visual Perceptioncited by 266
  4. 2025MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Detailscited by 250
  5. 2024Sapiens: Foundation for Human Vision Modelscited by 229
  6. 2025Video Depth Anything: Consistent Depth Estimation for Super-Long Videoscited by 202
  7. 2024Probing the 3D Awareness of Visual Foundation Modelscited by 175
  8. 2023MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimationcited by 173
  9. 2025UniDepthV2: Universal Monocular Metric Depth Estimation Made Simplercited by 170
  10. 2022BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimationcited by 166
  11. 2021Delving into Deep Imbalanced Regressioncited by 157
  12. 2022NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimationcited by 151
  13. 2023DDP: Diffusion Model for Dense Visual Predictioncited by 148
  14. 2022SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptationcited by 146
  15. 2022MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformercited by 136
  16. 2022On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networkscited by 119
  17. 2021Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimationcited by 116
  18. 2022DepthFormer: Exploiting Long-Range Correlation and Local Information for Accurate Monocular Depth Estimationcited by 116
  19. 2023The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimationcited by 116
  20. 2022P3Depth: Monocular Depth Estimation with a Piecewise Planarity Priorcited by 106
  21. 2022VideoDex: Learning Dexterity from Internet Videoscited by 101
  22. 2023Towards Zero-Shot Scale-Aware Monocular Depth Estimationcited by 100
  23. 2024Learning Temporally Consistent Video Depth from Video Diffusion Priorscited by 100
  24. 2022PanoFormer: Panorama Transformer for Indoor 360 Depth Estimationcited by 94
  25. 2023SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Fieldcited by 93
  26. 2022LocalBins: Improving Depth Estimation by Learning Local Distributionscited by 92
  27. 2022Attention Attention Everywhere: Monocular Depth Prediction with Skip Attentioncited by 92
  28. 2022BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection with Dynamic Temporal Stereocited by 89
  29. 2023Symphonize 3D Semantic Scene Completion with Contextual Instance Queriescited by 88
  30. 2023NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Spacecited by 88
  31. 2023Monocular Depth Estimation using Diffusion Modelscited by 87
  32. 2022SimpleRecon: 3D Reconstruction Without 3D Convolutionscited by 83
  33. 2023DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimationcited by 81
  34. 2024Align3R: Aligned Monocular Depth Estimation for Dynamic Videoscited by 79
  35. 2025Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysiscited by 78
  36. 2024DepthFM: Fast Monocular Depth Estimation with Flow Matchingcited by 76
  37. 2024Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimationcited by 73
  38. 2023SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Drivingcited by 72

50 most cited of 596 All 596 (JSON)