One model to use them all: Training a segmentation model with complementary datasets

arXiv:2402.19340v1 Announce Type: new
Abstract: Understanding a surgical scene is crucial for computer-assisted surgery systems to provide any intelligent assistance functionality. One way of achieving this scene understanding is via scene segmentation, where every pixel of a frame is classified and therefore identifies the visible structures and tissues. Progress on fully segmenting surgical scenes has been made using machine learning. However, such models require large amounts of annotated training data, containing examples of all relevant object classes. Such fully annotated …

abstract arxiv computer cs.cv datasets every intelligent one model pixel segmentation surgery systems them training type understanding via