mlsanityData to 7 Oct 2026

A Detector-oblivious Multi-arm Network for Keypoint Matching

arXiv 2104.00947 ↗First posted 2 Apr 2021cs.CVcited by 3

Not on the map. Why?

Abstract (arXiv)

This paper presents a matching network to establish point correspondence between images. We propose a Multi-Arm Network (MAN) to learn region overlap and depth, which can greatly improve the keypoint matching robustness while bringing little computational cost during the inference stage. Another design that makes this framework different from many existing learning based pipelines that require re-training when a different keypoint detector is adopted, our network can directly work with different keypoint detectors without such a time-consuming re-training process. Comprehensive experiments conducted on outdoor and indoor datasets demonstrated that our proposed MAN outperforms state-of-the-art methods.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 20 of its 43 references that are in the map. First posted on arXiv 2 Apr 2021.

Builds on

20 of 43 references.

References · 20

  1. 2017Attention Is All You Needcited by 59,932
  2. 2017ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenescited by 3,088
  3. 2013Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distancescited by 2,277
  4. 2019SuperGlue: Learning Feature Matching with Graph Neural Networkscited by 1,437
  5. 2017SuperPoint: Self-Supervised Interest Point Detection and Descriptioncited by 1,313
  6. 2021LoFTR: Detector-Free Local Feature Matching with Transformerscited by 974
  7. 2017Unsupervised Learning of Depth and Ego-Motion from Videocited by 778
  8. 2018MegaDepth: Learning Single-View Depth Prediction from Internet Photoscited by 731
  9. 2019D2-Net: A Trainable CNN for Joint Detection and Description of Local Featurescited by 324
  10. 2016LIFT: Learned Invariant Feature Transformcited by 305
  11. 2017Working hard to know your neighbor's margins: Local descriptor learning losscited by 212
  12. 2017Learning to Find Good Correspondencescited by 176
8 more
  1. 2018LF-Net: Learning Local Features from Imagescited by 151
  2. 2019Learning Two-View Correspondences and Geometry Using Order-Aware Networkcited by 148
  3. 2019SOSNet: Second Order Similarity Regularization for Local Descriptor Learningcited by 131
  4. 2020Learning Feature Descriptors using Camera Pose Supervisioncited by 104
  5. 2018Local Descriptors Optimized for Average Precisioncited by 43
  6. 2019Beyond Cartesian Representations for Local Descriptorscited by 35
  7. 2019RF-Net: An End-to-End Image Matching Network based on Receptive Fieldcited by 22
  8. 2020UR2KiD: Unifying Retrieval, Keypoint Detection, and Keypoint Description without Local Correspondence Supervisioncited by 17

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Cited by year (2026 to 7 Oct)

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

3 papers.

  1. 2025MIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matchingcited by 6
  2. 2024SoundLoc3D: Invisible 3D Sound Source Localization and Classification Using a Multimodal RGB-D Acoustic Cameracited by 0
  3. 2026Understanding and Optimizing Attention-Based Sparse Matching for Diverse Local Featurescited by 0