Results 141 to 150 of about 147,704 (285)
MFEAFN: Multi-scale feature enhanced adaptive fusion network for image semantic segmentation. [PDF]
Li S, Wan L, Tang L, Zhang Z.
europepmc +1 more source
Abstract World markets for quality differentiated agri‐food products are highly competitive, presenting significant challenges for firms aiming to compete effectively. Government agencies and business organizations often implement various export promotion policies to address these challenges.
Nicolás Depetris‐Chauvin +1 more
wiley +1 more source
Adaptive Multi-ROI Agricultural Robot Navigation Line Extraction Based on Image Semantic Segmentation. [PDF]
Li X, Su J, Yue Z, Duan F.
europepmc +1 more source
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
Image Semantic Segmentation Method Based on Deep Fusion Network and Conditional Random Field. [PDF]
Wang S, Yang Y.
europepmc +1 more source
This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando +4 more
wiley +1 more source
Efficient Semantic Segmentation of Remote Sensing Images Through Global-Local Feature Integration
The rapid acquisition of remote sensing information plays a significant role in the development of image semantic segmentation methods for remote sensing image interpretation applications.
Fengyi Zhang, Xiuyu Xia
doaj +1 more source
A Study of English Learning Vocabulary Detection Based on Image Semantic Segmentation Fusion Network. [PDF]
Pan L.
europepmc +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Histogram of Oriented Gradients meet deep learning: A novel multi-task deep network for 2D surgical image semantic segmentation. [PDF]
Bhattarai B +4 more
europepmc +1 more source

