Abstract: Fine-grained semantic segmentation of remote sensing imagery is critical for applications such as land use analysis and agricultural monitoring. However, it remains challenging due to the ...

(a) An overview of the Seg2Any framework. Seg2Any, which is built on the FLUX.1-dev foundation model, first converts segmentation masks into an Entity Contour Map and then encodes them into condition ...

Introduction: Weeds compete with crops for water, nutrients, and light, negatively impacting maize yield and quality. To enhance weed identification accuracy and meet the requirements of precision ...

Semantic segmentation of remote sensing images is pivotal for comprehensive Earth observation, but the demand for interpreting new object categories, coupled with the high expense of manual annotation ...

More than 900 people participated in the 2025 Python Challenge, a 10-day snake hunt in South Florida. The catches were monumental this year with 294 pythons captured — the most in the contest's ...

Abstract: The purpose of this paper is to study of how machine learning algorithms, artificial intelligence, semantic segmentation and fine recognition can be used to enhance computer vision in order ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

Department of Materials and Mineral Resources Engineering, Taipei University of Technology, Taipei 106344, Taiwan Institute of Mineral Resources Engineering, Taipei University of Technology, Taipei ...