Georgia Tech researchers present ZipIt: a general method for merging two arbitrary models of the same architecture that incorporates two simple strategies

Source: https://arxiv.org/pdf/2305.03053.pdf The computer vision discipline has flourished under the dominance of huge models with ever-increasing numbers of parameters since AlexNet popularized deep learning. Challenges in today’s benchmarks include classification with tens of thousands of classes, precise object identification, rapid instance segmentation, realistic image production, and many other vision problems originally thought to …

Read more