Breaking tunnel vision, imaging AI lifts fluorescence image restoration accuracy and speed

Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...
XDA Developers on MSN

I built a Python utility using Claude to automate my image editing workflow, and it saves me hours every week

Vibe-coding your problems away doesn't get easier than this ...
IEEE

Classification of High-Spatial-Resolution Remote Sensing Scenes Method Using Transfer Learning and Deep Convolutional Neural Network

Abstract: The deep convolutional neural network (DeCNN) is considered one of promising techniques for classifying the high-spatial-resolution remote sensing (HSRRS) scenes, due to its powerful feature ...
IEEE

FODA: Building Change Detection in High-Resolution Remote Sensing Images Based on Feature–Output Space Dual-Alignment

Abstract: In building change detection task, factors such as phenological changes, illumination changes, and registration errors will cause unchanged areas in remote sensing images to have obvious ...
GitHub

mahotas-parameter-free-threshold-adjacency-statistics.md

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
GitHub

sharegpt_gpt4-qwen3_a22B_output.jsonl

Model compression toolkit engineered for enhanced usability, comprehensiveness, and efficiency. - Tencent/AngelSlim ...