BACS: Background Aware Continual Semantic Segmentation

arXiv:2404.13148v1 Announce Type: new
Abstract: Semantic segmentation plays a crucial role in enabling comprehensive scene understanding for robotic systems. However, generating annotations is challenging, requiring labels for every pixel in an image. In scenarios like autonomous driving, there's a need to progressively incorporate new classes as the operating environment of the deployed agent becomes more complex. For enhanced annotation efficiency, ideally, only pixels belonging to new classes would be annotated. This approach is known as Continual Semantic Segmentation (CSS). Besides …

abstract agent annotations arxiv autonomous autonomous driving continual cs.cv driving enabling environment every however image labels pixel robotic role segmentation semantic systems type understanding