Georgia Tech Researchers Introduce ZipIt: A General Method for Merging Two Arbitrary Models of the Same Architecture that Incorporates Two Simple Strategies

The discipline of computer vision has flourished under the rule of huge models with an ever-increasing number of parameters ever since AlexNet popularised deep learning. Today’s benchmark challenges include classification with tens of thousands of classes, precise object identification, quick instance segmentation, realistic picture production, and many more vision issues that were originally thought to […]

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