Facing the Void: Overcoming Missing Data in Multi-View ImageryApplication area: General, Data type: Multimodal Images, Publication type: Journal, Research topic: Multimodal Fusion
A systematic review on open-set segmentationApplication area: General, Data type: Generic Images, Publication type: Journal, 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
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
YOLOV7 for moquito breeding grounds detection and trackingApplication area: Epidemiology, Application area: Health, Data type: Multimodal Images, Publication type: Conference, Research topic: Detection
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
