HYBRID CLASSIFIER TRAINING FOR FEATURE EXTRACTION
The use of machine learning (ML) can provide good results in annotating features present in images. However training the ML process can require a large amount of training images that have had the individual features correctly annotated. An ML process and training technique is described that can trai...
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Main Authors | , |
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Format | Patent |
Language | English French |
Published |
05.05.2023
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Subjects | |
Online Access | Get full text |
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Summary: | The use of machine learning (ML) can provide good results in annotating features present in images. However training the ML process can require a large amount of training images that have had the individual features correctly annotated. An ML process and training technique is described that can train and use a classifier in order to annotate features in an image. The training uses saliency loss propagation (SLP) to train the classifier on portions of images that include important features. |
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Bibliography: | Application Number: CA20213137612 |