2 citations · 2 across the 3 of their papers we have counts for
3 papers
Partial Visual-Semantic Embedding: Fashion Intelligence System with Sensitive Part-by-Part Learning
Ryotaro Shimizu, Takuma Nakamura, Masayuki Goto
In this study, we propose a technology called the Fashion Intelligence System based on the visual-semantic embedding (VSE) model to quantify abstract and complex expressions unique…
Fashion-Specific Attributes Interpretation via Dual Gaussian Visual-Semantic Embedding
Ryotaro Shimizu, Masanari Kimura, Masayuki Goto
Several techniques to map various types of components, such as words, attributes, and images, into the embedded space have been studied. Most of them estimate the embedded represen…
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification
Linxin Song, Jieyu Zhang, Tianxiang Yang +1
To obtain a large amount of training labels inexpensively, researchers have recently adopted the weak supervision (WS) paradigm, which leverages labeling rules to synthesize traini…