The IBS-Yonsei research team introduces a novel Lp-Convolution method at ICLR 2025. A team of researchers from the (IBS), ...

And we pore over customer reviews to find out what matters to real people who already own and use the products and services we’re assessing. When you click through from our site to a retailer ...

The model leverages the self-attention mechanism of transformer architecture for high-accuracy image classification. To classify images of Bangladeshi food using a Vision Transformer (ViT) ...

Abstract: As one of the fundamental research topics in remote sensing image analysis ... named compact and discriminative stacked autoencoder (CDSAE), for HSI classification. The proposed CDSAE ...

Abstract: Recently, the transformer-based model e.g., the vision transformer (ViT ... a novel shifted patch tokenization swin transformer (SPT-Swin) for the image classification task. The shifted ...

classify athletes solely based on the WHO criteria for low vision and blindness. One key barrier to evidence-based classification is the absence of guidance on how to address classification issues ...

Another blog post says that Bluesky is already using automated moderating, and has a system of community labeling, which is described as "something similar to shared mute/block lists." Users of ...

Deep learning has been widely applied to high-dimensional hyperspectral image classification and has achieved ... we propose a multi-scale simple attention (MSA) block, which extracts deep semantic ...

This repository will soon contain the code for our paper "ClimSat - A Diffusion Autoencoder Model for Climate-conditional Satellite Image Editing" published ... i.e., data augmentation for land cover ...