2024
DOI: 10.1007/s12008-024-01765-7
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Exploring the role of computer vision in product design and development: a comprehensive review

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Cited by 18 publications
(1 citation statement)
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“…Predictions are then filtered to iteratively generate strong pseudo-labels, enabling unbiased updates to the student network. Furthermore, to reduce the image-level discrepancy between the teacher and student models, enhance domain consistency, and enrich the diversity of training inputs, we adopt Contrastive Unpaired Translation (CUT) [10], a state-of-the-art unsupervised image-to-image translation method. CUT operates by transforming source domain images into the stylistic characteristics of the target domain, thereby generating pseudo-images in an offline manner.…”
Section: Introductionmentioning
confidence: 99%
“…Predictions are then filtered to iteratively generate strong pseudo-labels, enabling unbiased updates to the student network. Furthermore, to reduce the image-level discrepancy between the teacher and student models, enhance domain consistency, and enrich the diversity of training inputs, we adopt Contrastive Unpaired Translation (CUT) [10], a state-of-the-art unsupervised image-to-image translation method. CUT operates by transforming source domain images into the stylistic characteristics of the target domain, thereby generating pseudo-images in an offline manner.…”
Section: Introductionmentioning
confidence: 99%