Vertebrate paleontology has a numbers problem. Computer vision can help

How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce ...

How Google Discover qualifies, ranks, and filters content: Research

New SDK findings reveal why some pages never reach ranking, how pCTR predicts clicks, and why images and recency drive Discover traffic.
Hosted on MSN

Positional encoding in transformers explained clearly

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
GitHub

Vision Transformer (ViT) for Image Classification

This project implements Vision Transformer (ViT) for image classification. Unlike CNNs, ViT splits images into patches and processes them as sequences using transformer architecture. It includes patch ...
GitHub

FEG: A New Geometric Positional Encoding for Long-Context Models

Instead of using RoPE’s low-dimensional limited rotations or ALiBi’s 1D linear bias, FEG builds position encoding on a higher-dimensional geometric structure. The idea is simple at a high level: Treat ...
IEEE

SPGFormer: Structure Perception Graph Transformer With Laplacian Position Encoding for Hyperspectral Image Classification

Abstract: With the integration of graph structure representation and self-attention mechanism, the graph Transformer (GT) demonstrates remarkable effectiveness in hyperspectral image (HSI) ...
Scientific Research Publishing

Roussouly, P., Gollogly, S., Berthonnaud, E. and Dimnet, J. (2005) Classification of the Normal Variation in the Sagittal Alignment of the Human Lumbar Spine and Pelvis in the ...

ABSTRACT: Background: Recent studies suggest a correlation between spinal sagittal alignment and different types of lumbar pathologies due to different load patterns on the lumbar spine. The main ...