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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 21–30 of 219 papers

TitleStatusHype
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
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised LearningCode1
Deep Phase Correlation for End-to-End Heterogeneous Sensor Measurements MatchingCode1
Robust Template Matching via Hierarchical Convolutional Features from a Shape Biased CNNCode1
Fast Template Matching and Update for Video Object Tracking and SegmentationCode1
Fast and robust template matching with majority neighbour similarity and annulus projection transformationCode1
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