mlsanityData to 7 Oct 2026

Guide Local Feature Matching by Overlap Estimation

arXiv 2202.09050 ↗First posted 18 Feb 2022cs.CVcited by 24

Not on the map. Why?

Abstract (arXiv)

Local image feature matching under large appearance, viewpoint, and distance changes is challenging yet important. Conventional methods detect and match tentative local features across the whole images, with heuristic consistency checks to guarantee reliable matches. In this paper, we introduce a novel Overlap Estimation method conditioned on image pairs with TRansformer, named OETR, to constrain local feature matching in the commonly visible region. OETR performs overlap estimation in a two-step process of feature correlation and then overlap regression. As a preprocessing module, OETR can be plugged into any existing local feature detection and matching pipeline, to mitigate potential view angle or scale variance. Intensive experiments show that OETR can boost state-of-the-art local feature matching performance substantially, especially for image pairs with small shared regions. The code will be publicly available at https://github.com/AbyssGaze/OETR.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). Builds on 34 of its 47 references that are in the map. First posted on arXiv 18 Feb 2022.

Builds on

34 of 47 references.

References · 34

  1. 2017Attention Is All You Needcited by 59,932
  2. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  3. 2020End-to-End Object Detection with Transformerscited by 7,384
  4. 2016Feature Pyramid Networks for Object Detectioncited by 5,021
  5. 2015SSD: Single Shot MultiBox Detectorcited by 3,125
  6. 2020Transformers are RNNs: Fast Autoregressive Transformers with Linear Attentioncited by 1,979
  7. 2019FCOS: Fully Convolutional One-Stage Object Detectioncited by 1,573
  8. 2019SuperGlue: Learning Feature Matching with Graph Neural Networkscited by 1,437
  9. 2016YOLO9000: Better, Faster, Strongercited by 1,429
  10. 2017SuperPoint: Self-Supervised Interest Point Detection and Descriptioncited by 1,313
  11. 2021LoFTR: Detector-Free Local Feature Matching with Transformerscited by 974
  12. 2018Path Aggregation Network for Instance Segmentationcited by 796
22 more
  1. 2018MegaDepth: Learning Single-View Depth Prediction from Internet Photoscited by 731
  2. 2019Panoptic Feature Pyramid Networkscited by 644
  3. 2018From Coarse to Fine: Robust Hierarchical Localization at Large Scalecited by 556
  4. 2020Sparse R-CNN: End-to-End Object Detection with Learnable Proposalscited by 494
  5. 2021Learning Spatio-Temporal Transformer for Visual Trackingcited by 348
  6. 2019D2-Net: A Trainable CNN for Joint Detection and Description of Local Featurescited by 324
  7. 2020DISK: Learning local features with policy gradientcited by 310
  8. 2016LIFT: Learned Invariant Feature Transformcited by 305
  9. 2019Learning Correspondence from the Cycle-Consistency of Timecited by 269
  10. 2020Image Matching across Wide Baselines: From Paper to Practicecited by 224
  11. 2020Ocean: Object-aware Anchor-free Trackingcited by 212
  12. 2019R2D2: Repeatable and Reliable Detector and Descriptorcited by 206
  13. 2019Few-Shot Object Detection with Attention-RPN and Multi-Relation Detectorcited by 206
  14. 2021COTR: Correspondence Transformer for Matching Across Imagescited by 182
  15. 2019Siam R-CNN: Visual Tracking by Re-Detectioncited by 174
  16. 2019Neural-Guided RANSAC: Learning Where to Sample Model Hypothesescited by 129
  17. 2020ASLFeat: Learning Local Features of Accurate Shape and Localizationcited by 129
  18. 2019ContextDesc: Local Descriptor Augmentation with Cross-Modality Contextcited by 79
  19. 2021Learn to Match: Automatic Matching Network Design for Visual Trackingcited by 67
  20. 2020S2DNet: Learning Accurate Correspondences for Sparse-to-Dense Feature Matchingcited by 22
  21. 2020Predicting Visual Overlap of Images Through Interpretable Non-Metric Box Embeddingscited by 16
  22. 2020Learning to Guide Local Feature Matchescited by 6

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 7; 2024: 9; 2025: 3; 2026: 4.

24 papers.

Sort:

  1. 2023PATS: Patch Area Transportation with Subdivision for Local Feature Matchingcited by 33
  2. 2022Adaptive Assignment for Geometry Aware Local Feature Matchingcited by 30
  3. 2024Local Feature Matching Using Deep Learning: A Surveycited by 26
  4. 2023Adaptive Spot-Guided Transformer for Consistent Local Feature Matchingcited by 22
  5. 2024MESA: Matching Everything by Segmenting Anythingcited by 16
  6. 2023TopicFM+: Boosting Accuracy and Efficiency of Topic-Assisted Feature Matchingcited by 10
  7. 2023ParaFormer: Parallel Attention Transformer for Efficient Feature Matchingcited by 9
  8. 2023Searching from Area to Point: A Hierarchical Framework for Semantic-Geometric Combined Feature Matchingcited by 9
  9. 2024Raising the Ceiling: Conflict-Free Local Feature Matching with Dynamic View Switchingcited by 7
  10. 2024PRISM: PRogressive dependency maxImization for Scale-invariant image Matchingcited by 5
  11. 2023Scene-Aware Feature Matchingcited by 4
  12. 2025SegMASt3R: Geometry Grounded Segment Matchingcited by 4
12 more
  1. 2024MESA: Effective Matching Redundancy Reduction by Semantic Area Segmentationcited by 3
  2. 2024Towards RGB-NIR Cross-modality Image Registration and Beyondcited by 2
  3. 2023MatchDet: A Collaborative Framework for Image Matching and Object Detectioncited by 1
  4. 2024HCPM: Hierarchical Candidates Pruning for Efficient Detector-Free Matchingcited by 1
  5. 2025SGAD: Semantic and Geometric-aware Descriptor for Local Feature Matchingcited by 1
  6. 2026SceneGlue: Scene-Aware Transformer for Feature Matching without Scene-Level Annotationcited by 1
  7. 2024TP3M: Transformer-based Pseudo 3D Image Matching with Reference Imagecited by 0
  8. 2024SoundLoc3D: Invisible 3D Sound Source Localization and Classification Using a Multimodal RGB-D Acoustic Cameracited by 0
  9. 2025Not All Pixels Are Equal: Confidence-Guided Attention for Feature Matchingcited by 0
  10. 2026SAMatcher: Dense Co-Visibility Modeling via Cross-View Fusion for Scale-Imbalance Image Matchingcited by 0
  11. 2026SGFormer: Structure-Guided Transformer for Robust Local Feature Matchingcited by 0
  12. 2026DECO: Depth-Guided Co-Visibility Reasoning for Low-Altitude UAV Visual Localizationcited by 0