SOTAVerified

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 51–75 of 219 papers

TitleStatusHype
Stochastic Distance TransformCode0
Deep Template-based Object Instance DetectionCode0
TernausNetV2: Fully Convolutional Network for Instance SegmentationCode0
Chatbot for admissionsCode0
Learning Dynamic Memory Networks for Object TrackingCode0
Latent Fingerprint Recognition: Role of Texture TemplateCode0
In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole ComponentsCode0
Learning Deep Features for One-Class ClassificationCode0
Nonlinear Intensity, Scale and Rotation Invariant Matching for Multimodal ImagesCode0
Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural NetworksCode0
GradNet: Gradient-Guided Network for Visual Object TrackingCode0
Efficient Sliding Window Computation for NN-Based Template MatchingCode0
Efficient High-Resolution Template Matching with Vector Quantized Nearest Neighbour FieldsCode0
Fast and accurate spike sorting of high-channel count probes with KiloSortCode0
Human Computer Interaction Using Marker Based Hand Gesture RecognitionCode0
Stutter-Solver: End-to-end Multi-lingual Dysfluency DetectionCode0
Deep Learning Improves Template Matching by Normalized Cross Correlation—0
A Robust Multimodal Remote Sensing Image Registration Method and System Using Steerable Filters with First- and Second-order Gradients—0
A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators—0
A fast semi-automatic method for classification and counting the number and types of blood cells in an image—0
Comparing Cross Correlation-Based Similarities—0
Comparing CRF and template-matching in phrasing tasks within a Hybrid MT system—0
Approximately Optimal Binning for the Piecewise Constant Approximation of the Normalized Unexplained Variance (nUV) Dissimilarity Measure—0
Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis—0
Fast and Robust Matching for Multimodal Remote Sensing Image Registration—0
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