no code implementations • 29 Sep 2019 • Youngeun Kim, Seokeon Choi, Hankyeol Lee, Taekyung Kim, Changick Kim
In this paper, we introduce a self-supervised approach for video object segmentation without human labeled data. Specifically, we present Robust Pixel-level Matching Net-works (RPM-Net), a novel deep architecture that matches pixels between adjacent frames, using only color information from unlabeled videos for training.