Results 31 to 40 of about 1,457,631 (249)
Supervised deep learning with vision transformer predicts delirium using limited lead EEG
As many as 80% of critically ill patients develop delirium increasing the need for institutionalization and higher morbidity and mortality. Clinicians detect less than 40% of delirium when using a validated screening tool.
Malissa A. Mulkey +4 more
doaj +1 more source
This study introduces an optimal topology of vision transformers for real-time video action recognition in a cloud-based solution. Although model performance is a key criterion for real-time video analysis use cases, inference latency plays a more ...
Saman Sarraf, Milton Kabia
doaj +1 more source
QuadTree Attention for Vision Transformers
Transformers have been successful in many vision tasks, thanks to their capability of capturing long-range dependency. However, their quadratic computational complexity poses a major obstacle for applying them to vision tasks requiring dense predictions, such as object detection, feature matching, stereo, etc.
Tang, Shitao +3 more
openaire +4 more sources
Effect of different shapes of electrodes on bridging in contaminated transformer oil [PDF]
Contaminated transformer oil has been tested under non uniform electric fields and the effect of different electrode systems presented in this paper. Three different electric fields were examined i.e. DC, AC and DC biased AC.
Igor O. Golosnoy +9 more
core +1 more source
Vision Transformer Adapters for Generalizable Multitask Learning [PDF]
We introduce the first multitasking vision transformer adapters that learn generalizable task affinities which can be applied to novel tasks and domains.
Bhattacharjee, Deblina +2 more
core +3 more sources
V-LTCS: Backbone exploration for Multimodal Misogynous Meme detection
Memes have become a fundamental part of online communication and humour, reflecting and shaping the culture of today’s digital age. The amplified Meme culture is inadvertently endorsing and propagating casual Misogyny. This study proposes V-LTCS (Vision-
Sneha Chinivar +3 more
doaj +1 more source
Privacy-Preserving Semantic Segmentation Using Vision Transformer
In this paper, we propose a privacy-preserving semantic segmentation method that uses encrypted images and models with the vision transformer (ViT), called the segmentation transformer (SETR).
Hitoshi Kiya +3 more
doaj +1 more source
Semi-supervised Vision Transformers
We study the training of Vision Transformers for semi-supervised image classification. Transformers have recently demonstrated impressive performance on a multitude of supervised learning tasks. Surprisingly, we show Vision Transformers perform significantly worse than Convolutional Neural Networks when only a small set of labeled data is available ...
Zejia Weng +4 more
openaire +3 more sources
Bridging in contaminated transformer oil under DC and AC electric field
One of the key components in high voltage transmission and distribution systems are power transformers and their consistent operation is of utmost importance to energy utilities and users.
Wilson, G +9 more
core +1 more source
[HPCA24] Lightening-Transformer: A Dynamically-operated Optically-interconnected Photonic Transformer ...
Hanqing Zhu (17448903)
core +1 more source

