FEW-SHOT LEARNING METHOD AND IMAGE PROCESSING SYSTEM USING THE SAME

A few-shot learning method according to the present disclosure includes obtaining an image and a segmentation prediction for the image and learning, when a query image is provided with a pre-learned model, the model based on the image and a segmentation index to simultaneously perform classification...

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Bibliographic Details
Main Authors KANG, Da Hyun, CHO, Min Su
Format Patent
LanguageEnglish
Published 27.06.2024
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Summary:A few-shot learning method according to the present disclosure includes obtaining an image and a segmentation prediction for the image and learning, when a query image is provided with a pre-learned model, the model based on the image and a segmentation index to simultaneously perform classification and segmentation of a specific region from the query image, in which the model includes an attentive squeeze network (ASNet), does not perform the classification when an object with low relevance exists in the query image, and performs the classification and segmentation when an object with high relevance exists in the query image.
Bibliography:Application Number: US202318396400