New fluorescent labels offer clearer, high-contrast imaging of live cell processes

Thanks to a recent study by researchers at IOCB Prague, it is now possible to monitor processes in living cells more ...
IEEE

ML-Mamba: A Dual-Stream State Space Model with Atrous Scanning for Multi-Label Remote Sensing Image Classification

Abstract: Remote sensing images exhibit multi-semantic char acteristics with abundant geographical and contextual information. Although multi-label learning methods demonstrate remark able advantages ...
IEEE

AMITA: Attribute-Guided Masked Image-Text Alignment for Multi-Label Image Representation

Abstract: Multi-label image classification, which involves recognizing multiple objects within a single image, is a fundamental task in computer vision. Recently, Visual-Language Models (VLMs) have ...
pv magazine International

New multi‑hotspot detection tech based on Lab* feature descriptor

A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...
GitHub

LAP-GAN: Label augmentation with perceptual loss for self-supervised text-to-image synthesis

This repository provides the pytorch code for the paper "LAP-GAN: Label augmentation with perceptual loss for self-supervised text-to-image synthesis" by Yong Xuan Tan, Jit Yan Lim, Kian Ming Lim, ...