Zooming into Uncertainties: Towards Fusing Multi Zoom Level Imagery for Urban Land Use Segmentation
EJ Hoffmann, M Ali, XX Zhu - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Urban land use prediction is an ill-posed problem from a remote sensing perspective. Some
areas are easy to predict with aerial images, eg residential areas or industrial areas …
areas are easy to predict with aerial images, eg residential areas or industrial areas …
Semi-supervised domain adaptation with representation learning for semantic segmentation across time
Deep learning generates state-of-the-art semantic segmentation provided that a large
number of images together with pixel-wise annotations are available. To alleviate the …
number of images together with pixel-wise annotations are available. To alleviate the …
Robust Visual Features for Long-Term Monitoring
A Benbihi - 2020 - theses.hal.science
Visual monitoring consists of observing a scene and tracking its modifications. This task is
integrated into most of autonomous systems relying on localization such as autonomous …
integrated into most of autonomous systems relying on localization such as autonomous …
[PDF][PDF] Deep Representation Learning for Domain Adaptation of Semantic Image Segmentation
Abstract Deep Convolutional Neural Networks have pushed the state-of-the art for semantic
segmentation provided that a large amount of images together with pixel-wise annotations is …
segmentation provided that a large amount of images together with pixel-wise annotations is …