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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–160 of 219 papers

TitleStatusHype
Weakly Supervised Geodesic Segmentation of Egyptian Mummy CT Scans—0
When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition—0
You Only Crash Once: Improved Object Detection for Real-Time, Sim-to-Real Hazardous Terrain Detection and Classification for Autonomous Planetary Landings—0
Tensorial template matching for fast cross-correlation with rotations and its application for tomography—0
ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers—0
Deep Learning-based Multi Project InP Wafer Simulation for Unsupervised Surface Defect Detection—0
A 3D Object Detection and Pose Estimation Pipeline Using RGB-D Images—0
A 9T4R RRAM-Based ACAM for Analogue Template Matching at the Edge—0
A comparison of three heart rate detection algorithms over ballistocardiogram signals—0
A Counterexample in Cross-Correlation Template Matching—0
Show:102550
← PrevPage 16 of 22Next →

No leaderboard results yet.