Custom AI/ML model for Edge Computer Vision
I’m co-author on a paper ‘CupidShuffle’ that modifies MobileNet embedding to to use Transformers, result is an efficient embedded computer vision model targeting edge/IOT.
The core idea and implementation were performed by co-author Matt, I helped with reproducibility and presentation. (source code)
The point was some good fun in showing that The Transformer and self attention isn’t just for GenAI / LLMs / Diffusion, and can work efficiently in computer vision (which was not true at the start!).
also see MobileFormer
tools:
PyTorch, Apache TVM, C++, Python
