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Template Matching

Template matching is a technique that is used to find a subimage or a patch (called the template) within a larger image. The basic idea behind template matching is to slide the template image over the larger image and compare the template to each portion of the larger image to determine the similarity between the template and the corresponding portion of the larger image.

Papers

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Showing 1–10 of 219 papers

TitleStatusHype
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement LearningCode2
Image Matching Filtering and Refinement by Planes and BeyondCode2
ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to DescribeCode2
Autoregressive Visual TrackingCode2
MARs: Multi-view Attention Regularizations for Patch-based Feature Recognition of Space TerrainCode1
L2V2T2Calib: Automatic and Unified Extrinsic Calibration Toolbox for Different 3D LiDAR, Visual Camera and Thermal CameraCode1
Evaluation of a Canonical Image Representation for Sidescan SonarCode1
DoUnseen: Tuning-Free Class-Adaptive Object Detection of Unseen Objects for Robotic GraspingCode1
Learning Accurate Template Matching with Differentiable Coarse-to-Fine Correspondence RefinementCode1
scPrisma infers, filters and enhances topological signals in single-cell data using spectral template matchingCode1
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