Tag: pseudo-labeling

A random forest pseudo-labeling pipeline trains a compact deep learning model to segment freeze damage pixel-wise in hyperspectral imagery, cutting ...

Researchers have built a federated learning framework for intelligent transportation that combines semi-supervised pseudo-labeling, zk-SNARK update verification and blockchain auditing ...

Researchers have developed a semi-supervised, domain-adaptive intrusion detection algorithm that combines mutual-information-maximizing adversarial networks with uncertainty-aware pseudo-labeling to detect attacks ...

Researchers have developed a trajectory-free, semi-supervised anomaly detection framework that monitors entire hen flocks through statistical activity and density cues, ...

Researchers have developed a meta-learning framework that recommends the best clustering algorithm for generating pseudo-labels on new datasets before any ...

Researchers have developed a style-aware attention transformer that recognizes fine-grained interior design styles by focusing on textures, materials, and color ...

A new survey argues that the evolution of deep clustering is fundamentally the evolution of the prior knowledge embedded in ...

A new shapelet-based soft contrastive learning framework called SCLS improves multivariate time series clustering by avoiding noisy data augmentation and ...