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Found 4 papers, 1 papers with code
SCP: Spherical-Coordinate-based Learned Point Cloud Compression
In recent years, the task of learned point cloud compression has gained prominence.
Partial Visual-Semantic Embedding: Fashion Intelligence System with Sensitive Part-by-Part Learning
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 to fashion, such as ''casual,'' ''adult-casual,'' and ''office-casual,'' and to support users' understanding of fashion.
Fashion-Specific Attributes Interpretation via Dual Gaussian Visual-Semantic Embedding
Several techniques to map various types of components, such as words, attributes, and images, into the embedded space have been studied.
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification
To obtain a large amount of training labels inexpensively, researchers have recently adopted the weak supervision (WS) paradigm, which leverages labeling rules to synthesize training labels rather than using individual annotations to achieve competitive results for natural language processing (NLP) tasks.
