Published in The International Conference on Learning Representations (ICLR), CSS Workshop, 2022
This paper explores how and when backgrounds help a model with object classification task
Recommended citation: Raza Hashmi, Qiang Li. (2022). "Object Recognition With Help From Background." ICLR CSS Workshop.(1) https://sites.google.com/view/cssiclr2022/home
Published:
The idea was born out of my fascination with Generative Adversarial Networks (GANs). The concept of two networks locked in a competitive dance—a Generator creating fakes and a Discriminator spotting them—was revolutionary. It transformed what we could do with AI-generated art, music, and more. But I wondered: could this adversarial dynamic be used for something other than generating data?
For nearly a decade, I was deeply involved in building innovative, user-centric products. Today I’m building my own.