ViT-Large
PulseAugur coverage of ViT-Large — every cluster mentioning ViT-Large across labs, papers, and developer communities, ranked by signal.
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Vision Transformers show robust Alzheimer's MRI classification across datasets
A new study published on arXiv evaluates the robustness of Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) for classifying Alzheimer's disease from MRI scans. Researchers compared five architectures,…
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New medical vision-language model expands expertise without performance loss · 2 sources tracked
Researchers have developed a novel medical vision-language technique using an expandable bank of modality experts, centered around a Multiway Transformer. This approach leverages shared visual computation with specializ…
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AI models achieve 99% accuracy classifying historical document images
Researchers have developed a highly accurate image classification system for historical documents, capable of distinguishing between text, tables, and graphics. Fine-tuned deep learning models, specifically RegNetY-16GF…
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Researchers adapt self-supervised learning for plant image recognition
Researchers have developed a self-supervised learning approach for plant image recognition, addressing the limitations of traditional supervised methods that require extensive expert-labeled data. The study found that s…