IEEE

CompleMatch: Boosting Time-Series Semi-Supervised Classification With Temporal-Frequency Complementarity

Abstract: Time series Semi-Supervised Classification (SSC) aims to improve model performance by utilizing abundant unlabeled data in scenarios where labeled samples are limited. Previous approaches ...
GitHub

STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification (CVPR 2025)

Overall framework of STiL. STiL encodes image-tabular data using $\phi$, decomposes modality-shared and -specific information through DCC $\psi$ (a), and outputs ...
GitHub

An advanced metadata workflow automation plugin for Obsidian that streamlines frontmatter management through intelligent sorting, automatic field insertion, and customizable ...

Renames the file according to rules based on its fileClass and metadata: ...
IEEE

Semi-Supervised Triple-GAN With Similarity Constraint for Automatic Underground Object Classification Using Ground Penetrating Radar Data

Abstract: Automatic underground object classification based on deep learning (DL) has been widely used in ground penetrating radar (GPR) fields. However, its excellent performance heavily depends on ...