Miniatures are full of bite-sized portions of our world and lives. By transcending spatial norms, models envision and measure real-world size and performance. They help to understand the cultural and ...

Human pose estimation is a fundamental task in computer vision. However, existing methods face performance fluctuation challenges when processing human targets at different scales, especially in ...

Looped language model training cannot control hidden-state norm growth because RMSNorm normalizes scale away before the loss sees it. A paper posted today on arXiv identifies this readout blind spot, ...

With the increasing complexity of computational problems and the exponential growth in number of independent tasks in high-performance computing, Optimizing capabilities and resource utilization has ...