An overview on Meta-learning approaches for Few-shot Weakly-supervised SegmentationApplication area: General, Data type: Medical Imaging, Data type: Remote sensing, Publication type: Journal, Reserch topic: Few-Shot Segmentation
Weakly Supervised Few-Shot Segmentation via Meta-LearningApplication area: General, Data type: Medical Imaging, Data type: Remote sensing, Publication type: Journal, Reserch topic: Few-Shot Segmentation
AiRound and CV-BrCT: Novel Multiview Datasets for Scene ClassificationApplication area: Epidemiology, Application area: Health, Data type: Medical Imaging, Publication type: Conference, Reserch topic: Few-Shot Segmentation
Paving the Way for Automatic Mapping of Rural Roads in the Amazon RainforestApplication area: Environmental Monitoring, Data type: Remote sensing, Publication type: Conference, Reserch topic: Few-Shot Segmentation
Self-Supervised Learning for Seismic Image Segmentation From Few-Labeled SamplesApplication area: Geology, Data type: Seismic, Publication type: Journal, Reserch topic: Few-Shot Segmentation
