Results 31 to 40 of about 1,457,471 (199)

Optimal Topology of Vision Transformer for Real-Time Video Action Recognition in an End-To-End Cloud Solution

Machine Learning and Knowledge Extraction, 2023
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

Effect of different shapes of electrodes on bridging in contaminated transformer oil [PDF]

, 2014
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, Mahmud, S., Shekhar Mahmud, Gordon Wilson, George Chen, Golosnoy, I.O., Chen, G., Wilson, G., Paul Jarman, Jarman, P.   +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, Salzmann, Mathieu, Süsstrunk, Sabine   +2 more
core   +3 more sources

V-LTCS: Backbone exploration for Multimodal Misogynous Meme detection

Natural Language Processing Journal
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, Roopa M.S., Arunalatha J.S., Venugopal K.R.   +3 more
doaj   +1 more source

Bridging in contaminated transformer oil under DC and AC electric field

, 2013
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, Mahmud, S., Jarman, P, Golosnoy, I. O., Mahmud, S, Chen, G., Wilson, G., Golosnoy, I O, Chen, G, Jarman, P.   +9 more
core   +1 more source

Lightening-Transformer

, 2023
[HPCA24] Lightening-Transformer: A Dynamically-operated Optically-interconnected Photonic Transformer ...
Hanqing Zhu (17448903)
core   +1 more source

Semantic-Aware Local-Global Vision Transformer [PDF]

, 2022
Vision Transformers have achieved remarkable progresses, among which Swin Transformer has demonstrated the tremendous potential of Transformer for vision tasks.
Zhang, Jiatong, Lu, Guangming, Pei, Wenjie, Chen, Fanglin, Yao, Zengwei   +4 more
core   +1 more source

GaitTriViT and GaitVViT: Transformer-based methods emphasizing spatial or temporal aspects in gait recognition [PDF]

PeerJ Computer Science
In image recognition tasks, subjects with long distances and low resolution remain a challenge, whereas gait recognition, identifying subjects by walking patterns, is considered one of the most promising biometric technologies due to its stability and ...
Hongyun Sheng
doaj   +2 more sources

Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review

BMC Medical Imaging, 2023
Background Vision transformer-based methods are advancing the field of medical artificial intelligence and cancer imaging, including lung cancer applications.
Hazrat Ali, Farida Mohsen, Zubair Shah
doaj   +1 more source

Transforming glaucoma diagnosis: transformers at the forefront

Frontiers in Artificial Intelligence
Although the Vision Transformer architecture has become widely accepted as the standard for image classification tasks, using it for object detection in computer vision poses significant challenges.
Farheen Chincholi, Harald Koestler
doaj   +1 more source