Results 71 to 80 of about 141,410 (272)
Image Representations and New Domains in Neural Image Captioning
, 2015 We examine the possibility that recent promising results in automatic caption generation are due primarily to language models. By varying image representation quality produced by a convolutional neural network, we find that a state-of-the-art neural ...
Hessel, Jack +2 more
core +1 more source
Fluid Forces Control Structural Remodeling of Blind‐Ended Lymphatic Microvessels
Advanced Healthcare Materials, EarlyView.Using innovative microfluidic biofabrication with fluid mechanical insights, we recapitulated the blind‐ended microanatomy and physiological drainage properties of capillary lymphatics. Our results reveal the interrelationship between intra‐ and extraluminal regions of lymphatic vessels due to flow‐induced sprouting and morphological changes that ...
Jacob C. Holter +5 more
wiley +1 more source
Learn and Tell: Learning Priors for Image Caption Generation
Applied Sciences, 2020 In this work, we propose a novel priors-based attention neural network (PANN) for image captioning, which aims at incorporating two kinds of priors, i.e., the probabilities being mentioned for local region proposals (PBM priors) and part-of-speech clues ...
Pei Liu, Dezhong Peng, Ming Zhang
doaj +1 more source
Effective Pre-Training Method and Its Compositional Intelligence for Image Captioning
Sensors, 2022 With the increase in the performance of deep learning models, the model parameter has increased exponentially. An increase in model parameters leads to an increase in computation and training time, i.e., an increase in training cost.
Won-Hyuk Choi, Yong-Suk Choi
doaj +1 more source
Punny Captions: Witty Wordplay in Image Descriptions
, 2018 Wit is a form of rich interaction that is often grounded in a specific situation (e.g., a comment in response to an event). In this work, we attempt to build computational models that can produce witty descriptions for a given image.
Bansal, Mohit +2 more
core +1 more source
Engaging Image Captioning via Personality [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Standard image captioning tasks such as COCO and Flickr30k are factual, neutral in tone and (to a human) state the obvious (e.g., "a man playing a guitar"). While such tasks are useful to verify that a machine understands the content of an image, they are not engaging to humans as captions.
Shuster, Kurt +4 more
openaire +2 more sources
Advanced Healthcare Materials, EarlyView.3D printed hybrid scaffolds combining bioactive silica–calcium chemistry with elastic polymers guide human bone stem cells to form bone. The scaffolds support cell survival, organization, and invasion while releasing osteogenic ions. Together, architecture and composition drive bone‐specific gene expression, extracellular matrix organization, and ...
David R. Sory +3 more
wiley +1 more source
Generating Video Descriptions with Topic Guidance
, 2017 Generating video descriptions in natural language (a.k.a. video captioning) is a more challenging task than image captioning as the videos are intrinsically more complicated than images in two aspects.
Ba Lei Jimmy +4 more
core +1 more source
Three‐Dimensional Ovary Model to Improve and Study Murine Follicle Growth
Advanced Healthcare Materials, EarlyView.To develop new methods for fertility preservation in women, novel culture systems for small follicles need to be established. In this work, a poly(ethylene glycol) based scaffold, with appropriate mechanical and bioactive features to support mouse follicle and ovary cell growth is developed, and the formed cell‐follicle interactions are visualized ...
Mira Jacobs +6 more
wiley +1 more source
Advanced 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