Results 71 to 80 of about 69,316 (271)

Deep Interactive Region Segmentation and Captioning

open access: yes, 2017
With recent innovations in dense image captioning, it is now possible to describe every object of the scene with a caption while objects are determined by bounding boxes.
Boroujerdi, Ali Sharifi   +2 more
core   +1 more source

ETV2 Mediated Differentiation of Human Pluripotent Stem Cells Results in Functional Endothelial Cells for Engineering Advanced Vascularized Microphysiological Models

open access: yesAdvanced Healthcare Materials, EarlyView.
A robust method to generate functional human iPSC‐derived endothelial cells using inducible ETV2 expression. These cells self‐organize into stable, lumenized microvascular networks within microfluidic chips, surpassing conventional differentiation methods.
Shun Zhang   +12 more
wiley   +1 more source

Fooling Vision and Language Models Despite Localization and Attention Mechanism

open access: yes, 2018
Adversarial attacks are known to succeed on classifiers, but it has been an open question whether more complex vision systems are vulnerable. In this paper, we study adversarial examples for vision and language models, which incorporate natural language ...
Chen, Xinyun   +5 more
core   +1 more source

A Modular Bioinstructive Platform Reveals Mechanistic Insights into Additive‐Free, Topography‐Driven Osteogenesis

open access: yesAdvanced Healthcare Materials, EarlyView.
Engineered microparticle topographies direct human mesenchymal stem cell osteogenesis without biochemical additives. This osteogenic commitment is driven by canonical Hedgehog signaling and followed by temporal IGF‐II engagement. Two‐photon polymerization demonstrates spatial control, enabling the engineering of topographical gradients that pattern ...
Fatmah I. Ghuloum   +5 more
wiley   +1 more source

Tiny TR-CAP: A novel small-scale benchmark dataset for general-purpose image captioning tasks

open access: yesEngineering Science and Technology, an International Journal
In the last decade, the outstanding performance of deep learning has also led to a rapid and inevitable rise in automatic image captioning, as well as the need for large amounts of data.
Abbas Memiş, Serdar Yıldız
doaj   +1 more source

Evaluating Text-to-Image Matching using Binary Image Selection (BISON)

open access: yes, 2019
Providing systems the ability to relate linguistic and visual content is one of the hallmarks of computer vision. Tasks such as text-based image retrieval and image captioning were designed to test this ability but come with evaluation measures that have
Hu, Hexiang   +2 more
core   +1 more source

Piezoelectric Surface Charge and Dynamic Stimulation Synergize to Promote Cardiac Myoblast Alignment and Maturation

open access: yesAdvanced Healthcare Materials, EarlyView.
Surface polarization of PVDF films combined with mechanical stimulation generates piezoelectric electrical cues that modulate cardiomyoblast behaviour. Non‐poled and poled PVDF substrates provide distinct electroactive microenvironments influencing cell adhesion, proliferation, and differentiation.
Rafaela M Meira   +3 more
wiley   +1 more source

Knowledge-rich Image Gist Understanding Beyond Literal Meaning

open access: yes, 2018
We investigate the problem of understanding the message (gist) conveyed by images and their captions as found, for instance, on websites or news articles. To this end, we propose a methodology to capture the meaning of image-caption pairs on the basis of
Dietz, Laura   +4 more
core   +1 more source

Soft Neural Interfaces for Circuit‐Level Analysis of Magnetogenetic Deep Brain Stimulation in Parkinson's Disease Models

open access: yesAdvanced Healthcare Materials, EarlyView.
ABSTRACT Magnetogenetic deep brain stimulation (MG‐DBS) represents a wireless neuromodulation that has demonstrated long‐lasting behavioral benefits in Parkinson's disease models. However, the circuit‐level mechanisms underlying these therapeutic effects have remained uncharacterized due to limitations of conventional neural interfaces.
Jakyoung Lee   +10 more
wiley   +1 more source

Where to put the image in an image caption generator [PDF]

open access: yesNatural Language Engineering, 2018
AbstractWhen a recurrent neural network (RNN) language model is used for caption generation, the image information can be fed to the neural network either by directly incorporating it in the RNN – conditioning the language model by ‘injecting’ image features – or in a layer following the RNN – conditioning the language model by ‘merging’ image features.
MARC TANTI   +2 more
openaire   +4 more sources

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