GitHub

Dual Selective Fusion Transformer Network for Hyperspectral Image Classification

DSFormer is a novel Dual Selective Fusion Transformer Network for HSI classification. It adaptively selects and fuses features from diverse receptive fields to achieve joint spatial-spectral context ...
IEEE

LMFN: Label-Aware Multi-Semantic Fusion Network for Multi-Label Text Classification

Abstract: The multi-label text classification (MLTC) task involves associating text data with multiple relevant labels. However, previous studies often overlooked the co-occurrence information of ...
IEEE

Advancing Scientific Text Classification: Fine-Tuned Models with Dataset Expansion and Hard-Voting

Efficient text classification is essential for handling the increasing volume of academic publications. This study explores the use of pre-trained language models (PLMs), including BERT, SciBERT, ...
OSTechNix

32 Essential Python One-Liners for Python’s 32nd Anniversary

Python turns 32. Explore 32 practical Python one-liners that show why readability, simplicity, and power still define the ...