Weakly Supervised Segmentation of Buildings in Digital Elevation Models
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3177160
Abstract: The lack of quality label data is considered one of the main bottlenecks for training machine and deep learning (DL) models. Weakly supervised learning using incomplete, coarse, or inaccurate data is an alternative strategy to… read more here.
Keywords: supervised segmentation; weakly supervised; models weakly; elevation ... See more keywords
Learning Discriminative Subspace Models for Weakly Supervised Face Detection
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2017.2753319
Abstract: Learning object detection models from weakly labeled data is an important topic in computer vision. Among various types of weak annotations, image-level object labeling is a natural one that tells the existence, but not the… read more here.
Keywords: detection; models weakly; weakly supervised; learning discriminative ... See more keywords