Concept information
Terme préférentiel
contrastive learning
Définition
- A self-supervised paradigm where a model is trained to learn useful representations of input data by contrasting similar and dissimilar samples. (Aswath et al., Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey, in Medical Image Analysis, 2023)
Concept générique
Traductions
-
français
URI
http://data.loterre.fr/ark:/67375/8LP-ZPN7F7DW-V
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