Results 91 to 100 of about 147,704 (285)

Recurrent Segmentation for Variable Computational Budgets

, 2018
State-of-the-art systems for semantic image segmentation use feed-forward pipelines with fixed computational costs. Building an image segmentation system that works across a range of computational budgets is challenging and time-intensive as new ...
Maheswaranathan, Niru, McIntosh, Lane, Shlens, Jonathon, Sussillo, David   +3 more
core   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Improving Facial Attribute Prediction using Semantic Segmentation

, 2017
Attributes are semantically meaningful characteristics whose applicability widely crosses category boundaries. They are particularly important in describing and recognizing concepts where no explicit training example is given, \textit{e.g., zero-shot ...
Gong, Boqing, Kalayeh, Mahdi M., Shah, Mubarak   +2 more
core   +1 more source

Semantic image segmentation and cosegmentation [PDF]

, 2019
This thesis considers the challenging problem of automatically segmenting an image or a photo stream into a few number of regions that correspond to semantic objects or high-level structures, which can be highly beneficial for various computer vision tasks given existing huge amount of images over the internet. DOCTOR OF PHILOSOPHY (SCE)
openaire   +3 more sources

Machine‐Learning Decomposition Identifies a Big Two Structure in Human Personality with Distinct Neurocognitive Profiles

Advanced Science, EarlyView.
Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang, Ji Chen, Jinfeng Han, Wei Cheng, Jiang Qiu, Jianfeng Feng, Simon Eickhoff, Deniz Vatansever   +7 more
wiley   +1 more source

Semantic Segmentation of Ambiguous Images

, 2020
Medizinische Bilder können schwer zu interpretieren sein. Nicht nur weil das Erkennen von Strukturen und möglichen Veränderungen Erfahrung und jahrelanges Training bedarf, sondern auch weil die dargestellten Messungen oft im Kern mehrdeutig sind. Fundamental ist dies eine Konsequenz dessen, dass medizinische Bild-Modalitäten, wie bespielsweise MRT oder
openaire   +3 more sources

Semantic Segmentation of Seismic Images

, 2019
Almost all work to understand Earth's subsurface on a large scale relies on the interpretation of seismic surveys by experts who segment the survey (usually a cube) into layers; a process that is very time demanding. In this paper, we present a new deep neural network architecture specially designed to semantically segment seismic images with a minimal
Civitarese, Daniel, Szwarcman, Daniela, Brazil, Emilio Vital, Zadrozny, Bianca   +3 more
openaire   +2 more sources

Farnesyltransferase Deficiency in Cardiomyocytes Initiates Senescence and Contributes to Cardiac Fibrosis

Advanced Science, EarlyView.
Lipid overload suppresses SREBF2‐mediated FNTB expression, leading to defective Lamin A maturation and nuclear envelope instability. This nuclear catastrophe triggers a pro‐fibrotic senescence program in cardiomyocytes. Notably, restoring nuclear integrity via AAV9‐based gene therapy effectively attenuates cardiac remodeling, identifying the ...
Yuxiao Chen, Lian Lou, Xuan Zhang, Lin Yan, Qi Zhang, Wen Shi, Jie Ding, Xu Lin, Rong Jiang, Shuo Liu, Thida Sok, Pengli Wang, Yun Mou, Jie Han, Shenjiang Hu, Xiaogang Guo, Jian Yang   +16 more
wiley   +1 more source

Study on traffic scene semantic segmentation method based on convolutional neural network

Tongxin xuebao, 2018
In order to improve the semantic segmentation accuracy of traffic scene,a segmentation method was proposed based on RGB-D image and convolutional neural network.Firstly,on the basis of semi-global stereo matching algorithm,the disparity map was obtained ...
Linhui LI, Bo QIAN, Jing LIAN, Weina ZHENG, Yafu ZHOU   +4 more
doaj   +2 more sources

Research on Semantic Segmentation Algorithm for Infrared Moving Targets in Complex Backgrounds [PDF]

Hangkong bingqi
The semantic segmentation of infrared weak targets relies more on detailed texture features, and deeper network architecture are not suitable for semantic segmentation of infrared targets, making it difficult to accurately segment weak targets from ...
Ji Haoyu, Meng Weihua, Zhang Xinchao, Duan Jingfei, Zhang Meng
doaj   +1 more source