Results 101 to 110 of about 33,786 (306)
Biomedical image classification using vision transformer [PDF]
E3S Web of ConferencesParticularly in the areas of public health and welfare, biomedical image classification plays a significant role in advancing the Sustainable Development Goals (SDGs).
Tjahyaningtijas Hapsari Peni Agustin +5 more
doaj +1 more source
Vision Transformer With Quadrangle Attention
IEEE Transactions on Pattern Analysis and Machine IntelligenceWindow-based attention has become a popular choice in vision transformers due to its superior performance, lower computational complexity, and less memory footprint. However, the design of hand-crafted windows, which is data-agnostic, constrains the flexibility of transformers to adapt to objects of varying sizes, shapes, and orientations.
Qiming Zhang 0001 +3 more
openaire +3 more sources
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Vision transformer for contrastive clustering
Knowledge-Based SystemsVision Transformer (ViT) has shown its advantages over the convolutional neural network (CNN) with its ability to capture global long-range dependencies for visual representation learning. Besides ViT, contrastive learning is another popular research topic recently. While previous contrastive learning works are mostly based on CNNs, some recent studies
Hua-Bao Ling +5 more
openaire +2 more sources
Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics
Advanced Materials, EarlyView.The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades +7 more
wiley +1 more source
Handwritten Text Recognition Using a Vision Transformer
, 2023 The aim of this project is to create a method for offline handwritten text recognition using a vision transformer. It consists of two parts, where the first one segments all words in a document into separate images and the second one which recognizes the
Kurén, Jonathan, Sundberg, Martin
core
DeepFake Video Detection using Vision Transformer [PDF]
International Journal of Intelligent Computing and Information SciencesTechnology is always a double-edged sword, and with the astonishing advancements in technology, it is expected that the DeepFake problem will become more common and serious.
Shereen Hussien, Seif Mohamed
doaj +1 more source
Advanced Materials, EarlyView.Inspired by viral entry mechanisms, the FUSION assay enables autonomous detection of respiratory viruses via membrane fusion–triggered CRISPR‐Cas13a activation. VEACON selectively fuses with fusion‐competent viruses, triggering fluorescence within confined vesicles.
Jae Chul Park +15 more
wiley +1 more source
Unsupervised Pose Estimation by Means of an Innovative Vision Transformer
, 2023 Attention-only Transformers [34] have been applied to solve Natural Language Processing (NLP) tasks and Computer Vision (CV) tasks. One particular Transformer architecture developed for CV is the Vision Transformer (ViT) [15].
Russo S. +6 more
core +1 more source
Advanced Materials, EarlyView.Elephant‐skin‐inspired crack networks are programmed in porous diatomaceous earth (DE)‐cement composites using substrate‐guided, stress‐concentration induced fracture. The resulting crack lattices act as capillary conduits that redistribute water, while the porous matrix stores moisture.
Qingya Huang +5 more
wiley +1 more source