Search Results for author:
Found 3 papers, 2 papers with code
OmniSat: Self-Supervised Modality Fusion for Earth Observation
To demonstrate the advantages of combining modalities of different natures, we augment two existing datasets with new modalities.
BuyTheDips: PathLoss for improved topology-preserving deep learning-based image segmentation
Our method is an extension of the BALoss [1], in which we want to improve the leakage detection for better recovering the closeness property of the image segmentation.
CDPS: Constrained DTW-Preserving Shapelets
The analysis of time series for clustering and classification is becoming ever more popular because of the increasingly ubiquitous nature of IoT, satellite constellations, and handheld and smart-wearable devices, etc.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
