Results 101 to 110 of about 6,675,235 (374)

Semantic Regularisation for Recurrent Image Annotation [PDF]

open access: yesComputer Vision and Pattern Recognition, 2016
The CNN-RNN design pattern is increasingly widely applied in a variety of image annotation tasks including multi-label classification and captioning. Existing models use the weakly semantic CNN hidden layer or its transform as the image embedding that ...
Feng Liu   +4 more
semanticscholar   +1 more source

An intracellular transporter mitigates the CO2‐induced decline in iron content in Arabidopsis shoots

open access: yesFEBS Letters, EarlyView.
This study identifies a gene encoding a transmembrane protein, MIC, which contributes to the reduction of shoot Fe content observed in plants under elevated CO2. MIC is a putative Fe transporter localized to the Golgi and endosomal compartments. Its post‐translational regulation in roots may represent a potential target for improving plant nutrition ...
Timothy Mozzanino   +7 more
wiley   +1 more source

Can Global Visual Features Improve Tag Recommendation for Image Annotation?

open access: yesFuture Internet, 2010
Recent advances in the fields of digital photography, networking and computing, have made it easier than ever for users to store and share photographs.
Oge Marques, Arthur Pitman, Mathias Lux
doaj   +1 more source

Text-based Semantic Annotation Service for Multimedia Content in the Esperonto project [PDF]

open access: yes, 2004
Within the Esperonto project, an integration of NLP, ontologies and other knowledge bases, is being performed with the goal to implement a semantic annotation service that upgrades the actual Web towards the emerging Semantic Web.
Contreras, Jesús   +3 more
core   +1 more source

Baselines for Image Annotation [PDF]

open access: yesInternational Journal of Computer Vision, 2010
Automatically assigning keywords to images is of great interest as it allows one to retrieve, index, organize and understand large collections of image data. Many techniques have been proposed for image annotation in the last decade that give reasonable performance on standard datasets.
Ameesh Makadia   +2 more
openaire   +1 more source

A Cre‐dependent lentiviral vector for neuron subtype‐specific expression of large proteins

open access: yesFEBS Letters, EarlyView.
We designed a versatile and modular lentivector comprising a Cre‐dependent switch and self‐cleaving 2A peptide and tested it for co‐expression of GFP and a 2.8 kb gene of interest (GOI) in mouse cortical parvalbumin (PV+) interneurons and midbrain dopamine (TH+) neurons.
Weixuan Xue   +6 more
wiley   +1 more source

Multi‐domain autonomous driving dataset: Towards enhancing the generalization of the convolutional neural networks in new environments

open access: yesIET Image Processing, 2023
In this paper, a large‐scale dataset called the Iran Autonomous Driving Dataset (IADD) is presented, aiming to improve the generalization capability of the deep networks outside of their training domains.
Amir Khosravian   +3 more
doaj   +1 more source

Anveshak - A Groundtruth Generation Tool for Foreground Regions of Document Images

open access: yes, 2017
We propose a graphical user interface based groundtruth generation tool in this paper. Here, annotation of an input document image is done based on the foreground pixels. Foreground pixels are grouped together with user interaction to form labeling units.
B Yanikoglu   +9 more
core   +1 more source

By dawn or dusk—how circadian timing rewrites bacterial infection outcomes

open access: yesFEBS Letters, EarlyView.
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo   +2 more
wiley   +1 more source

From Content-Based Image Retrieval by Shape to Image Annotation

open access: yesAdvances in Electrical and Computer Engineering, 2010
In many areas such as commerce, medical investigations, and others, large collections of digital images are being created. Search operations inside these collections of images are usually based on low-level features of objects contained in an image ...
MOCANU, I.
doaj   +1 more source

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