Back to results
US 2023/0409676 A1Published application
Embedding-based object classification system and method
AssigneeHyundai Mobis Co., Ltd.
InventorJae Young LEE
Life of this patent
Estimating the term…
Abstract
Provided are an embedding-based object classification system and method for implementing a classification network in a smaller memory usage amount and a smaller computation amount than the conventional art, such that the classification network is applicable to an embedded system even if the classification network has complicated class information.
Claims9
An embedding-based object classification system comprising:
- a first learning-processing unit configured to perform first learning by inputting, to a classification network, a set of learning data labeled with class information for a plurality of objects;
- a second learning-processing unit configured to (1) configure the classification network based on the learning performed by the first learning-processing unit, and (2) perform second learning by inputting the set of learning data to the classification network;
- and
- an inference processing unit configured, using the classification network configured by the second learning-processing unit, to classify an object included in input image data and output class information of the object.
1 more element
An embedding-based object classification method comprising:
- performing first learning by inputting, to a classification network, a set of learning data labeled with class information for objects;
- configuring the classification network based on a result of the first learning, and performing second learning by inputting, to the classification network, the set of learning data;
- and
- in response to an object to be classified being recognized from image data input from an external source, classifying the object included in the image data and outputting, using the classification network configured by the second learning, class information for the object.
1 more element
Dependencies are inferred from the claim text.