GitHub

InternImage: Large-Scale Vision Foundation Model

InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions. InternImage is an advanced vision foundation model developed by researchers from Shanghai AI Laboratory, ...
GitHub

VAR: a new visual generation method elevates GPT-style models beyond diffusion & Scaling laws observed

🕹️ Try and Play with VAR! We provide a demo website for you to play with VAR models and generate images interactively. Enjoy the fun of visual autoregressive modeling! We provide a demo website for ...
IEEE

A Bayesian Optimization Approach for Calibrating Large-Scale Activity-Based Transport Models

Abstract: Addressing complexity in transportation in cases such as disruptive trends or disaggregated management strategies has become increasingly important. This in turn is resulting in the rising ...
IEEE

Efficient Multi-Scale Attention Module with Cross-Spatial Learning

Remarkable effectiveness of the channel or spatial attention mechanisms for producing more discernible feature representation are illustrated in various computer vision tasks. However, modeling the ...
Microsoft

Who Says Elephants Can’t Run: Bringing Large Scale MoE Models into Cloud Scale Production

Mixture of Experts (MoE) models with conditional execution of sparsely activated layers have enabled training models with a much larger number of parameters. As a result, these models have achieved ...