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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 131–140 of 219 papers

TitleStatusHype
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks—0
SMART tracking: Simultaneous anatomical imaging and real-time passive device tracking for MR-guided interventionsCode0
Tracking Holistic Object RepresentationsCode1
Understanding Video Content: Efficient Hero Detection and Recognition for the Game "Honor of Kings"—0
Visual Tracking via Dynamic Memory Networks—0
RinQ Fingerprinting: Recurrence-informed Quantile Networks for Magnetic Resonance Fingerprinting—0
Multi-scale Template Matching with Scalable Diversity Similarity in an Unconstrained Environment—0
Learning Objectness from Sonar Images for Class-Independent Object Detection—0
Multilingual Bottleneck Features for Query by Example Spoken Term Detection—0
A MAX-AFFINE SPLINE PERSPECTIVE OF RECURRENT NEURAL NETWORKS—0
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