MSTDSNet-CD: Multiscale Swin Transformer and Deeply Supervised Network for Change Detection of the Fast-Growing Urban Regions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3165885
Abstract: Deep learning algorithms have recently provided new ideas for various change detection (CD) tasks, which have yielded promising results. However, accurately identifying urban land cover and land use (LCLU) changes remains challenging in the very… read more here.
Keywords: multiscale swin; change detection; deeply supervised; supervised network ... See more keywords
Deeply Supervised Subspace Learning for Cross-Modal Material Perception of Known and Unknown Objects
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3195171
Abstract: In order to help robots understand and perceive an object's properties during noncontact robot-object interaction, this article proposes a deeply supervised subspace learning method. In contrast to previous work, it takes the advantages of low… read more here.
Keywords: deeply supervised; unknown objects; cross modal; supervised subspace ... See more keywords