Results 51 to 60 of about 141,410 (272)
What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?
In neural image captioning systems, a recurrent neural network (RNN) is typically viewed as the primary `generation' component. This view suggests that the image features should be `injected' into the RNN.
Camilleri, Kenneth P. +2 more
core +1 more source
Explainability for Medical Image Captioning
Abstract Medical image captioning is the process of generating clinically significant descriptions to medical images, which has many applications among which medical report generation is the most frequent one. In general, automatic captioning of medical images is of great interest for medical experts since it offers assistance in diagnosis, disease ...
Oussalah Mourad +2 more
openaire +2 more sources
Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein +13 more
wiley +1 more source
Efficient Explainable Metric for Semantic Communication of Images Using Image Captioning
As existing networks are projected to reach the theoretical limit for Shannon capacity, the concept of semantic communication is proposed in literature.
Asma O. Mahgoub, Elias Yaacoub
doaj +1 more source
Say What You Are Looking At: An Attention-Based Interactive System for Autistic Children
Gaze-following is an effective way for intention understanding in human–robot interaction, which aims to follow the gaze of humans to estimate what object is being observed.
Furong Deng +7 more
doaj +1 more source
ImageCaptioner2: Image Captioner for Image Captioning Bias Amplification Assessment
Most pre-trained learning systems are known to suffer from bias, which typically emerges from the data, the model, or both. Measuring and quantifying bias and its sources is a challenging task and has been extensively studied in image captioning. Despite the significant effort in this direction, we observed that existing metrics lack consistency in the
Bakr, Eslam Mohamed +3 more
openaire +2 more sources
Automatic image captioning [PDF]
We examine the problem of automatic image captioning. Given a training set of captioned images, we want to discover correlations between image features and keywords, so that we can automatically find good keywords for a new image. We experiment thoroughly with multiple design alternatives on large datasets of various content styles, and our proposed ...
Pan J.-Y. +3 more
openaire +2 more sources
Planar Solid‐State Nanopores Toward Scalable Nanofluidic Integration Based on CMOS Technology
We present a scalable silicon‐based fabrication strategy for planar solid‐state nanopores to enable their integration with complex nanofluidic systems. Prototype devices demonstrate normal voltage‐current characteristics, good noise performance, and appreciable streaming currents. Our CMOS‐compatible fabrication process offers precise geometric control
Ngan Hoang Pham +7 more
wiley +1 more source
Semantic bottleneck for computer vision tasks
This paper introduces a novel method for the representation of images that is semantic by nature, addressing the question of computation intelligibility in computer vision tasks.
Gabriëlle Ras +4 more
core +1 more source
Substrate Stress Relaxation Regulates Cell‐Mediated Assembly of Extracellular Matrix
Silicone‐based viscoelastic substrates with tunable stress relaxation reveal how matrix mechanics regulates cellular mechanosensing and cell‐mediated matrix remodelling in the stiff regime. High stress relaxation promotes assembly of fibronectin fibril‐like structures, increased nuclear localization of YAP and formation of β1 integrin‐enriched ...
Jonah L. Voigt +2 more
wiley +1 more source

