Results 91 to 100 of about 30,915 (267)

Semantic segmentation of agricultural images: A survey

Information Processing in Agriculture
As an important research topic in recent years, semantic segmentation has been widely applied to image understanding problems in various fields. With the successful application of deep learning methods in machine vision, the superior performance has been
Zifei Luo, Wenzhu Yang, Yunfeng Yuan, Ruru Gou, Xiaonan Li   +4 more
doaj   +1 more source

The Faraday Scalpel: Electrochemical Nerve Lesioning Mechanisms Studied in Invertebrate Models

Advanced Science, EarlyView.
Direct‐current produces nerve lesioning through discrete electrochemical reactions. Using hypoxia‐sensitive locust nerves and hypoxia‐tolerant leech nerves, we map three injury pathways: cathodic oxygen reduction, cathodic alkalization, and anodic chloride oxidation. These findings establish electrochemical lesioning—the “Faraday Scalpel”—as a precise,
Petra Ondráčková, Jan Švec, Marie Jakešová, Jiří Ehlich, Imrich Gablech, Eric Daniel Głowacki   +5 more
wiley   +1 more source

Stable Diffusion Models Reveal a Persisting Human–AI Gap in Visual Creativity

Advanced Science, EarlyView.
This study examines visual creativity in humans and generative AI using the TCIA framework. Human artists outperform AI overall, yet structured human guidance substantially improves AI outputs and evaluations. Findings reveal that alignment with human creativity depends critically on contextual framing, highlighting both the promise and current ...
Silvia Rondini, Claudia Alvarez‐Martin, Paula Angermair‐Barkai, Olivier Penacchio, Marc Paz, Matthew Pelowski, Dan Dediu, Antoni Rodriguez‐Fornells, Xim Cerda‐Company   +8 more
wiley   +1 more source

Research on Image Semantic Segmentation Based on Hybrid Cascade Feature Fusion and Detailed Attention Mechanism

IEEE Access
In view of the low segmentation accuracy for small-scale object and insufficient segmentation of local boundary for semantic segmentation methods based on Deep Learning, this paper proposes an image semantic segmentation approach based on attention ...
Zuoqiang Du, Yuan Liang
doaj   +1 more source

Nighttime Semantic Segmentation with Attention and Low-Light Enhancement [PDF]

Jisuanji gongcheng
With the development of deep learning technology and the improvements in computing power, semantic segmentation of natural scene images captured during the day shows promising results.
Ci XIAO, Yang XU, Yongdan ZHANG, Mingwen FENG, Yiqian HUANG
doaj   +1 more source

Semantic image segmentation using morphological tools [PDF]

Proceedings. International Conference on Image Processing, 2003
In this work, we study the extraction of semantic objects using morphological tools. We decompose the image into its level sets and level lines (the borders of the level sets). Specifically, from all the level lines we extract the ones that contain T-junctions, have compact form, and are well-contrasted to obtain the semantic objects in the scene.
openaire   +2 more sources

Peroxidase‐Mimicking Nanozymes for Rapid Detection of Infectious Diseases

Advanced Science, EarlyView.
Peroxidase‐mimicking nanozymes (PMNs) have emerged as robust and versatile materials for rapid infectious disease diagnostics. This review highlights the rational design and controlled synthesis of PMNs, summarizes key biomarkers relevant to infectious diseases, examines their integration into diverse rapid detection platforms, and highlights ...
Shikuan Shao, Victor Fernandez‐Gonzalez, Xiaochuan Wang, Blake Pylipow, Claudia Herrera, Xiaohu Xia   +5 more
wiley   +1 more source

Research Advances in Deep Learning for Image Semantic Segmentation Techniques

IEEE Access
Image semantic segmentation represents a significant area of research within the field of computer vision. With the advent of deep learning, image semantic segmentation techniques that integrate deep learning have demonstrated superior accuracy compared ...
Zhiguo Xiao, Tengfei Chai, Nianfeng Li, Xiangfeng Shen, Tong Guan, Jia Tian, Xinyuan Li   +6 more
doaj   +1 more source

Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring

Advanced Science, EarlyView.
This study presents a semantic representation framework for clinically interpretable cardiac monitoring from contactless radio signals. It formulates radio semantic learning as an information‐bottleneck problem and approximates the objective via intra‐modal compression and cross‐modal alignment, structuring radio measurements into meaningful semantic ...
Jinbo Chen, Haoyu Wang, Guixin Xu, Yuqin Yuan, Xinmeng Cai, Zhengwu Wei, Dongheng Zhang, Qibin Sun, Tianwei Zhang, Cuntai Guan, Yan Chen   +10 more
wiley   +1 more source

Dataset of bird's eye chilies farm for stereo image semantic segmentation. [PDF]

Data Brief, 2023
Saipullah KM, Saad WHM, Wong QL, Husni MSM, Idris MI, Razak MSJA.   +5 more
europepmc   +1 more source