Scientists Analyzed 1,000 Tinder Profiles—One Photo Type Is Most Popular

Your profile should not define you, nor should the app affect your self-esteem,” study author García Alamán advises.
Scientific Research Publishing

Geo-Refined Point Transformer: Coordinate-Aware Excitation and Positional Upsampling for 3D Scene Segmentation ()

As a work exploring the existing trade-off between accuracy and efficiency in the context of point cloud processing, Point Transformer V3 (PTV3) has made significant advancements in computational ...
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, graph Transformer demonstrates remarkable effectiveness in hyperspectral image (HSI) classification by ...