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Found 2 papers, 2 papers with code
Self-supervised visual feature learning with curriculum
Self-supervised learning techniques have shown their abilities to learn meaningful feature representation.
Decoupling Semantic Context and Color Correlation with multi-class cross branch regularization
This paper presents a novel design methodology for architecting a light-weight and faster DNN architecture for vision applications.
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