mlsanityData to 7 Oct 2026

Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm

arXiv 1906.02290 ↗First posted 5 Jun 2019cs.CVcited by 43

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Abstract (arXiv)

The Progressive-X algorithm, Prog-X in short, is proposed for geometric multi-model fitting. The method interleaves sampling and consolidation of the current data interpretation via repetitive hypothesis proposal, fast rejection, and integration of the new hypothesis into the kept instance set by labeling energy minimization. Due to exploring the data progressively, the method has several beneficial properties compared with the state-of-the-art. First, a clear criterion, adopted from RANSAC, controls the termination and stops the algorithm when the probability of finding a new model with a reasonable number of inliers falls below a threshold. Second, Prog-X is an any-time algorithm. Thus, whenever is interrupted, e.g. due to a time limit, the returned instances cover real and, likely, the most dominant ones. The method is superior to the state-of-the-art in terms of accuracy in both synthetic experiments and on publicly available real-world datasets for homography, two-view motion, and motion segmentation.

Key facts. Cited by 43 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Jun 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 8; 2022: 5; 2023: 5; 2024: 12; 2025: 10; 2026: 3.

43 papers.

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  1. 2022ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose Estimationcited by 115
  2. 2022DeepLSD: Line Segment Detection and Refinement with Deep Image Gradientscited by 58
  3. 2025Segment Any Motion in Videoscited by 34
  4. 20236D-Diff: A Keypoint Diffusion Framework for 6D Object Pose Estimationcited by 24
  5. 2022Neural Correspondence Field for Object Pose Estimationcited by 21
  6. 2021Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Imagescited by 17
  7. 2023CheckerPose: Progressive Dense Keypoint Localization for Object Pose Estimation with Graph Neural Networkcited by 15
  8. 2023A 5-Point Minimal Solver for Event Camera Relative Motion Estimationcited by 13
  9. 2021Calibrated and Partially Calibrated Semi-Generalized Homographiescited by 12
  10. 2023Quantum Multi-Model Fittingcited by 12
  11. 2021SIFT Matching by Context Exposedcited by 9
  12. 2022Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictionscited by 9
31 more
  1. 2021Finding Geometric Models by Clustering in the Consensus Spacecited by 8
  2. 2021Multi-instance Point Cloud Registration by Efficient Correspondence Clusteringcited by 7
  3. 2024Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Cloudscited by 7
  4. 2024Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenescited by 7
  5. 2021Event-based Motion Segmentation by Cascaded Two-Level Multi-Model Fittingcited by 6
  6. 2021Space-Partitioning RANSACcited by 6
  7. 2022PointCLM: A Contrastive Learning-based Framework for Multi-instance Point Cloud Registrationcited by 6
  8. 2023Handbook on Leveraging Lines for Two-View Relative Pose Estimationcited by 6
  9. 2024Revisiting Sampson Approximations for Geometric Estimation Problemscited by 6
  10. 2024PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensuscited by 6
  11. 2024Image Matching Filtering and Refinement by Planes and Beyondcited by 5
  12. 2025ScaleLSD: Scalable Deep Line Segment Detection Streamlinedcited by 5
  13. 2021Visual SLAM with Graph-Cut Optimized Multi-Plane Reconstructioncited by 4
  14. 2024Zero-Shot Monocular Motion Segmentation in the Wild by Combining Deep Learning with Geometric Motion Model Fusioncited by 4
  15. 2025Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypescited by 3
  16. 2024Instance by Instance: An Iterative Framework for Multi-instance 3D Registrationcited by 2
  17. 2024Latent Semantic Consensus For Deterministic Geometric Model Fittingcited by 2
  18. 2024Monocular pose estimation of articulated open surgery tools -- in the wildcited by 2
  19. 2024End-to-End Probabilistic Geometry-Guided Regression for 6DoF Object Pose Estimationcited by 2
  20. 2025MultiLink: Multi-class Structure Recovery via Agglomerative Clustering and Model Selectioncited by 2
  21. 2024VAPO: Visibility-Aware Keypoint Localization for Efficient 6DoF Object Pose Estimationcited by 1
  22. 2025Fixing the RANSAC Stopping Criterioncited by 1
  23. 2025Outlier-Robust Multi-Model Fitting on Quantum Annealerscited by 1
  24. 2025Robust and Real-time Surface Normal Estimation from Stereo Disparities using Affine Transformationscited by 1
  25. 2024Dense Monocular Motion Segmentation Using Optical Flow and Pseudo Depth Map: A Zero-Shot Approachcited by 0
  26. 2025Accelerating Outlier-robust Rotation Estimation by Stereographic Projectioncited by 0
  27. 2025Linearly Solving Robust Rotation Estimationcited by 0
  28. 2025Neural Guided Sampling for Quantum Circuit Optimizationcited by 0
  29. 2026SUMO: Segment and Track Any Motion with Nonlinear State Space Modelscited by 0
  30. 2026Robust Multi-Model Fitting through Learning Neighbor Regionscited by 0
  31. 2026Superquadric Primitive Decomposition of 3D point clouds via Geometric-Aware Inlier Refinementcited by 0