Augment Before Copy-Paste: Data and Memory Efficiency-Oriented Instance Segmentation Framework for Sport-scenes

arXiv:2403.11572v1 Announce Type: new
Abstract: Instance segmentation is a fundamental task in computer vision with broad applications across various industries. In recent years, with the proliferation of deep learning and artificial intelligence applications, how to train effective models with limited data has become a pressing issue for both academia and industry. In the Visual Inductive Priors challenge (VIPriors2023), participants must train a model capable of precisely locating individuals on a basketball court, all while working with limited data and without …

abstract applications artificial artificial intelligence arxiv become computer computer vision copy cs.cv cs.mm data deep learning efficiency framework industries instance intelligence issue memory segmentation sport train type vision