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Hannah Kerner

13 papers at tracked venues · 12 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. A Woman with a Knife or A Knife with a Woman? Measuring Directional Bias Amplification in Image Captions
  2. Classification Drives Geographic Bias in Street Scene Segmentation
  3. DPA: A one-stop metric to measure bias amplification in classification datasets
  4. Data Augmentation Approaches for Satellite Imagery
  5. Deploying Geospatial Foundation Models in the Real World: Lessons from WorldCereal
  6. Fields of The World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation
    AAAI 2025 · Hannah Kerner
  7. Galileo: Learning Global & Local Features of Many Remote Sensing Modalities
  8. Hotspotter: A Generalizable Pipeline for Automated Detection of Subtle Volcanic Thermal Features in Satellite Images
  9. Mars-Bench: A Benchmark for Evaluating Foundation Models for Mars Science Tasks
  10. Task-Informed Meta-Learning for Remote Sensing
  11. Position: Application-Driven Innovation in Machine Learning
  12. Position: Mission Critical - Satellite Data is a Distinct Modality in Machine Learning
  13. Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images