Fully convolutional open set segmentationApplication area: General, Data type: Remote sensing, Research topic: Open-Set
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
Integrating remote sensing and machine learning to detect turbidity anomalies in hydroelectric reservoirsApplication area: Environmental Monitoring, Data type: Remote sensing, Publication type: Journal, Research topic: Anomaly Detection
Outlier Exposure for Open Set Crop Recognition From Multitemporal Image SequencesApplication area: Agriculture, Data type: Remote sensing, Publication type: Journal, Research topic: Open-Set
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
Open Set Semantic Segmentation for Multitemporal Crop RecognitionApplication area: Agriculture, Data type: Remote sensing, Publication type: Journal, Research topic: Open-Set
Conditional Reconstruction for Open-Set Semantic SegmentationApplication area: General, Data type: Remote sensing, Publication type: Conference, Research topic: Open-Set
Water tank and swimming pool detection based on remote sensing and deep learning: Relationship with socioeconomic level and applications in dengue controlApplication area: Epidemiology, Application area: Health, Data type: Remote sensing, Publication type: Journal, Research topic: Detection
