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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 101–110 of 219 papers

TitleStatusHype
TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency LossCode1
Pose Estimation of Specular and Symmetrical Objects—0
Instance Semantic Segmentation Benefits from Generative Adversarial NetworksCode1
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised LearningCode1
Best Buddies Registration for Point CloudsCode0
Deep Phase Correlation for End-to-End Heterogeneous Sensor Measurements MatchingCode1
Robust Template Matching via Hierarchical Convolutional Features from a Shape Biased CNNCode1
Approximately Optimal Binning for the Piecewise Constant Approximation of the Normalized Unexplained Variance (nUV) Dissimilarity Measure—0
Deep-VFX: Deep Action Recognition Driven VFX for Short Video—0
Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching—0
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