Results 101 to 110 of about 141,410 (272)

Understanding remote sensing imagery like reading a text document: What can remote sensing image captioning offer?

International Journal of Applied Earth Observations and Geoinformation
Remote sensing imagery offers intricate and nuanced data, emphasizing the need for a profound understanding of the relationships among varied geographical elements and events.
Xiao Huang, Kaixuan Lu, Siqin Wang, Junyu Lu, Xiao Li, Ruiqian Zhang   +5 more
doaj   +1 more source

Neural Image Captioning

, 2019
In recent years, the biggest advances in major Computer Vision tasks, such as object recognition, handwritten-digit identification, facial recognition, and many others., have all come through the use of Convolutional Neural Networks (CNNs). Similarly, in the domain of Natural Language Processing, Recurrent Neural Networks (RNNs), and Long Short Term ...
Tan, Elaina, Sharma, Lakshay
openaire   +2 more sources

Weakly Supervised Captioning of Ultrasound Images

, 2022
Medical image captioning models generate text to describe the semantic contents of an image, aiding the non-experts in understanding and interpretation. We propose a weakly-supervised approach to improve the performance of image captioning models on small image-text datasets by leveraging a large anatomically-labelled image classification dataset.
Alsharid, M, Sharma, H, Drukker, L, Papageorgiou, AT, Noble, JA   +4 more
openaire   +3 more sources

Liquids as Reinforcements for Anisotropic and Tough Soft Matter Composites

Advanced Materials, EarlyView.
Liquid metal droplets are shaped and oriented within soft elastomers to create all‐soft matter composites with programmable mechanical anisotropy. These liquid inclusions act as fiber‐like reinforcements, enabling directional stiffness, enhanced toughness, and controlled crack steering under extreme deformation, offering new routes to resilient soft ...
Gwyneth M. Schloer, Ohnyoung Hur, Ravi Tutika, Aaron Haake, Eric J. Markvicka, Michael D. Bartlett   +5 more
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Multi-Scale Semantic Segmentation and Spatial Relationship Recognition of Remote Sensing Images Based on an Attention Model

Remote Sensing, 2019
A comprehensive interpretation of remote sensing images involves not only remote sensing object recognition but also the recognition of spatial relations between objects.
Wei Cui, Fei Wang, Xin He, Dongyou Zhang, Xuxiang Xu, Meng Yao, Ziwei Wang, Jiejun Huang   +7 more
doaj   +1 more source

Improved Image Caption Rating - Datasets, Game, and Model. [PDF]

Ext Abstr Hum Factors Computing Syst, 2023
Scott AT, Narins LD, Kulkarni A, Castanon M, Kao B, Ihorn S, Siu YT, Yoon I.   +7 more
europepmc   +1 more source

Timing Mechanotransduction: Mechanically Dynamic Biomaterials Reveal the Temporal Hierarchy of YAP/TAZ Control Nodes

Advanced Science, EarlyView.
This work develops dynamically softening polyacrylamide hydrogels for time‐resolved imaging during continuous mechanical transitions. The study revealed that mechanotransduction is biphasic; YAP/TAZ inactivation is driven by early loss of the nucleocytoskeletal continuum connecting subnuclear adhesions, F‐actin, and the nuclear envelope, coupled with ...
Alessandro Gandin, Giada Vanni, Veronica Torresan, Margherita Pelosin, Rebecca Busetto, Anna Citron, Ambela Suli, Paolo Contessotto, Carlo Albanese, Francesca Zanconato, Tito Panciera, Stefano Piccolo, Giovanna Brusatin   +12 more
wiley   +1 more source

An image caption model based on attention mechanism and deep reinforcement learning. [PDF]

Front Neurosci, 2023
Bai T, Zhou S, Pang Y, Luo J, Wang H, Du Y.   +5 more
europepmc   +1 more source

GloPath: An Entity‐Centric Foundation Model for Glomerular Lesion Assessment and Clinicopathological Insights

Advanced Science, EarlyView.
An entity‐centric foundation model, GloPath, is introduced for comprehensive glomerular lesion assessment from routine renal biopsy images. Trained on over one million glomeruli, the framework enables robust lesion recognition, grading, and cross modality diag nosis, while uncovering large‐scale clinicopathological associations.
Qiming He, Jing Li, Tian Guan, Yifei Ma, Zimo Zhao, Yanxia Wang, Hongjing Chen, Yingming Xu, Shuang Ge, Yexing Zhang, Yizhi Wang, Xinrui Chen, Lianghui Zhu, Yiqing Liu, Qingxia Hou, Shuyan Zhao, Xiaoqin Wang, Lili Ma, Peizhen Hu, Qiang Huang, Zihan Wang, Zhiyuan Shen, Junru Cheng, Siqi Zeng, Jiurun Chen, Zhen Song, Chao He, Zhe Wang, Yonghong He   +28 more
wiley   +1 more source