Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of ...
Complex digital images of tissue samples that can take an experienced pathologist up to 20 minutes to annotate could be ...
Encord said its EBIND model, based on the E-MM1 dataset, is scalable and resource-light, allowing for the use of multiple ...
A new AI-driven technology developed by researchers at UNIST promises to significantly reduce data transmission loads during image transfer, paving the way for advancements in autonomous vehicles, ...
Artificial intelligence has exploded in popularity in recent years, and many proponents are excited about its potential uses in medicine: for example, processing samples quickly or identifying markers ...
Abstract: The rotational position encoder is here adopted and optimized on a 1-D Convolutional Transformer Hybrid Neural Network model for fault diagnostics on power converters. The effectiveness of ...
School of Physical Science and Technology & Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou 215006, China Suzhou Key Laboratory of Intelligent ...
Abstract: We introduce Point-LN, a novel lightweight frame-work engineered for efficient 3D point cloud classification. Point-LN integrates essential non-parametric components-such as Farthest Point ...
Great work! I have a few questions about the positional encoding—could you help clarify? Thanks! The paper mentions that the position encoding shifts can significantly prevent copy-paste effects. I ...
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