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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 41–50 of 219 papers

TitleStatusHype
A Hybrid Edge Classifier: Combining TinyML-Optimised CNN with RRAM-CMOS ACAM for Energy-Efficient Inference—0
DreamTrack: Dreaming the Future for Multimodal Visual Object Tracking—0
BEST-STD: Bidirectional Mamba-Enhanced Speech Tokenization for Spoken Term DetectionCode0
A Counterexample in Cross-Correlation Template Matching—0
Gesture2Text: A Generalizable Decoder for Word-Gesture Keyboards in XR Through Trajectory Coarse Discretization and Pre-training—0
A 9T4R RRAM-Based ACAM for Analogue Template Matching at the Edge—0
Stutter-Solver: End-to-end Multi-lingual Dysfluency DetectionCode0
ByCAN: Reverse Engineering Controller Area Network (CAN) Messages from Bit to Byte Level—0
Tensorial template matching for fast cross-correlation with rotations and its application for tomography—0
Einstein from Noise: Statistical Analysis—0
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