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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 141–150 of 219 papers

TitleStatusHype
TpopT: Efficient Trainable Template Optimization on Low-Dimensional Manifolds—0
Transformer RGBT Tracking with Spatio-Temporal Multimodal Tokens—0
Understanding Video Content: Efficient Hero Detection and Recognition for the Game "Honor of Kings"—0
Unsupervised Learning of Dictionaries of Hierarchical Compositional Models—0
View-Invariant Template Matching Using Homography Constraints—0
Visual Tracking via Dynamic Memory Networks—0
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
ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers—0
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