Self-Supervised Learning for Seismic Image Segmentation From Few-Labeled SamplesApplication area: Geology, Data type: Seismic, Publication type: Journal, 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
Seeing without Looking: Analysis Pipeline for Child Sexual Abuse DatasetsApplication area: Forensics, Data type: Natural Images, Publication type: Conference, Research topic: Data-Centric AI
A New Similarity Space Tailored for Supervised Deep Metric LearningApplication area: General, Data type: Generic Data, Publication type: Journal, Research topic: Metric Learning
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
