Image Matching
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Benchmarks
ZEB
IMC PhotoTourism
Most implemented
SuperGlue: Learning Feature Matching with Graph Neural Networks
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
LoFTR: Detector-Free Local Feature Matching with Transformers
Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters
Papers
WildMatch: Weakly Supervised Image Matcher Adaptation for Wildlife Re-Identification
Individual animal re-identification from camera-trap imagery is an instance retrieval problem central to non-invasive wildlife monitoring: a query image must retrieve the correct individual from a reference set of known …
Image MatchingARC-Loc: Leveraging Azimuthal Ray Convergence as a Geometric Cue for Direct Cross-View Localization
Cross-view localization (CVL) estimates the pose of a ground image by matching it to a geo-referenced satellite image. To bridge the extreme viewpoint gap, mainstream pipelines rely on Bird's-Eye-View (BEV) transformatio…
Image MatchingSSMB: Self-Supervised Local Feature Detection under Motion Blur
Keypoint detection under motion blur remains a significant challenge, as blur distorts local image structure and degrades the repeatability of feature localization. Existing approaches either rely on computationally expe…
Visual LocalizationKeypoint DetectionPose EstimationImage MatchingMisanthrope: A Privacy-Preserving Keypoint Detector
Image matching is a core component of applications such as Simultaneous Localization and Mapping (SLAM), Visual Localization, and Structure from Motion (SfM). However, the local image features central to this task are vu…
Visual LocalizationImage MatchingEvaluation of Image Matching Methods for Visual Odometry on UAVs
Unmanned aerial vehicles (UAVs) are becoming a powerful tool for many environmental monitoring and transport applications. Yet, their reliance on Global Navigation Satellite System (GNSS) technology for navigation makes …
Visual OdometryImage MatchingDouble Down on Defense: Strengthening Deep Perceptual Hashes against Evasion Attacks without Retraining
Near-duplicate image matching is crucial for trust and safety, provenance verification, copyright enforcement, and large-scale visual search. Modern platforms increasingly rely on deep perceptual hashes, which map visual…
Image Matching