Facing the Void: Overcoming Missing Data in Multi-View ImageryApplication area: General (category), Data type: Multimodal Images (category), Publication type: Journal (category), Research topic: Multimodal Fusion (category)
A systematic review on open-set segmentationApplication area: General (category), Data type: Generic Images (category), Publication type: Journal (category), Research topic: Open-Set (category)
An overview on Meta-learning approaches for Few-shot Weakly-supervised SegmentationApplication area: General (category), Data type: Medical Imaging (category), Data type: Remote sensing (category), Publication type: Journal (category), Reserch topic: Few-Shot Segmentation (category)
Weakly Supervised Few-Shot Segmentation via Meta-LearningApplication area: General (category), Data type: Medical Imaging (category), Data type: Remote sensing (category), Publication type: Journal (category), Reserch topic: Few-Shot Segmentation (category)
Integrating remote sensing and machine learning to detect turbidity anomalies in hydroelectric reservoirsApplication area: Environmental Monitoring (category), Data type: Remote sensing (category), Publication type: Journal (category), Research topic: Anomaly Detection (category)
Outlier Exposure for Open Set Crop Recognition From Multitemporal Image SequencesApplication area: Agriculture (category), Data type: Remote sensing (category), Publication type: Journal (category), Research topic: Open-Set (category)
Self-Supervised Learning for Seismic Image Segmentation From Few-Labeled SamplesApplication area: Geology (category), Data type: Seismic (category), Publication type: Journal (category), Reserch topic: Few-Shot Segmentation (category)
Open Set Semantic Segmentation for Multitemporal Crop RecognitionApplication area: Agriculture (category), Data type: Remote sensing (category), Publication type: Journal (category), Research topic: Open-Set (category)
A New Similarity Space Tailored for Supervised Deep Metric LearningApplication area: General (category), Data type: Generic Data (category), Publication type: Journal (category), Research topic: Metric Learning (category)
Water tank and swimming pool detection based on remote sensing and deep learning: Relationship with socioeconomic level and applications in dengue controlApplication area: Epidemiology (category), Application area: Health (category), Data type: Remote sensing (category), Publication type: Journal (category), Research topic: Detection (category)
