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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 201–219 of 219 papers

TitleStatusHype
Self-supervised Vision Transformers for 3D Pose Estimation of Novel ObjectsCode0
Template Matching with Deformable Diversity SimilarityCode0
Fast and accurate spike sorting of high-channel count probes with KiloSortCode0
Thoracic Cartilage Ultrasound-CT Registration using Dense Skeleton GraphCode0
QATM: Quality-Aware Template Matching For Deep LearningCode0
Quantifying the Resolution of a Template after Image RegistrationCode0
Deep Watershed Transform for Instance SegmentationCode0
Beyond Correlation: A Path-Invariant Measure for Seismogram SimilarityCode0
TernausNetV2: Fully Convolutional Network for Instance SegmentationCode0
SMART tracking: Simultaneous anatomical imaging and real-time passive device tracking for MR-guided interventionsCode0
Best Buddies Registration for Point CloudsCode0
Nonlinear Intensity, Scale and Rotation Invariant Matching for Multimodal ImagesCode0
BEST-STD: Bidirectional Mamba-Enhanced Speech Tokenization for Spoken Term DetectionCode0
Chatbot for admissionsCode0
Stochastic Distance TransformCode0
Stutter-Solver: End-to-end Multi-lingual Dysfluency DetectionCode0
Ada-Tracker: Soft Tissue Tracking via Inter-Frame and Adaptive-Template MatchingCode0
Efficient Sliding Window Computation for NN-Based Template MatchingCode0
APPLE Picker: Automatic Particle Picking, a Low-Effort Cryo-EM FrameworkCode0
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