Examples of 'object recognition' in a sentence
Meaning of "object recognition"
Phrase: object recognition
Definition: Object recognition refers to the ability of a computer system or AI technology to identify and classify objects or patterns within an image or video based on predefined algorithms and models
How to use "object recognition" in a sentence
Basic
Advanced
object recognition
Object recognition method using an object descriptor.
Target detection and automatic object recognition.
The object recognition test is a memory test.
Linearity across spatial frequency in object recognition.
Object recognition based on shape and function.
Touchtable with object recognition software.
Object recognition seems to be a simpler task.
Shape context is a feature descriptor used in object recognition.
Active object recognition in parametric eigenspace.
We must then provide it with simple object recognition.
Loss of object recognition is called visual object agnosia.
Attention is directed to distinguishing features during object recognition.
Object recognition was not directly addressed.
Information extraction and object recognition.
Object recognition on the screen surface.
See also
Problems with visual object recognition.
Object recognition for best results.
Mobile application for object recognition.
Object recognition in both directions of movement.
The second component is object recognition.
Object recognition with high accuracy.
If one area is damaged then object recognition can be impaired.
Object recognition was measured in a single trial.
Biometrics and object recognition.
Object recognition and tracking.
Bahram is at least hoping for object recognition to become a reality.
There were no significant differences between groups for object recognition.
Integrated object recognition technology.
Various teams are currently working on generic object recognition in images.
Novel object recognition model.
Easily programmable object recognition.
Scan object recognition.
Application example object recognition.
Object recognition can entail the same two types of error.
Outline of object recognition.
Object recognition testing.
The problem of defining a generative model for object recognition is difficult.
Visual object recognition.
Underlying impairment and implications for normal tactile object recognition.
Single object recognition.
Get better conversion quality by using smart object recognition technology.
Object recognition is a key output of deep learning and machine learning algorithms.
In a typical neural network we use to train our object recognition model.
Object recognition is a computer vision technique for identifying objects in images or videos.
The method is extended to image database consultation and object recognition.
We demonstrate improvements on several object recognition tasks using this activation function.
It became the winning architecture to generate exciting new results in object recognition.
This brain region is associated with object recognition and object identity.
The object recognition area has seen an impressive progress in the last decade.
Representative image showing the design of the object recognition test.
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