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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 1–25 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
Bridging Search Region Interaction With Template for RGB-T TrackingCode1
Score-based denoising for atomic structure identificationCode1
AccoMontage2: A Complete Harmonization and Accompaniment Arrangement SystemCode1
Segmentation of Blood Vessels, Optic Disc Localization, Detection of Exudates and Diabetic Retinopathy Diagnosis from Digital Fundus ImagesCode1
Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to OcclusionsCode1
Affine Medical Image Registration with Coarse-to-Fine Vision TransformerCode1
Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic FlowCode1
Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal AssignmentsCode1
BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D ModelsCode1
Unsupervised Human Pose Estimation through Transforming Shape TemplatesCode1
PatchNet -- Short-range Template Matching for Efficient Video ProcessingCode1
Deep Learning based Virtual Point Tracking for Real-Time Target-less Dynamic Displacement Measurement in Railway ApplicationsCode1
Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical ImagesCode1
TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency LossCode1
Instance Semantic Segmentation Benefits from Generative Adversarial NetworksCode1
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