MISS: Memory-efficient Instance Segmentation Framework By Visual Inductive Priors Flow Propagation

arXiv:2403.11576v1 Announce Type: new
Abstract: Instance segmentation, a cornerstone task in computer vision, has wide-ranging applications in diverse industries. The advent of deep learning and artificial intelligence has underscored the criticality of training effective models, particularly in data-scarce scenarios - a concern that resonates in both academic and industrial circles. A significant impediment in this domain is the resource-intensive nature of procuring high-quality, annotated data for instance segmentation, a hurdle that amplifies the challenge of developing robust models under resource …

abstract academic applications artificial artificial intelligence arxiv computer computer vision cs.cv cs.mm data deep learning diverse flow framework inductive industrial industries instance intelligence memory propagation segmentation training type vision visual