Cross-Dataset Transfer and Unknown-Class Detection in Imbalanced SAR Ship Classification

arXiv:2609.31658 · cs.CV, cs.AI, cs.LG · Submitted 2026-09-15 · Read on arXiv

cs.CV, cs.AI, cs.LG

Submitted: 2026-09-15

Updated: 2026-09-15

Terminology

• Accuracy — 37× in this paper · explained in 1 episode
• AUROC — 13× in this paper · explained in 2 episodes
• Foundation Model — 8× in this paper · explained in 3 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Foundation Models — 7× in this paper · explained in 7 episodes
• Earth Observation — 6× in this paper
• Robustness — 4× in this paper · explained in 5 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Distribution Shift — 3× in this paper · explained in 6 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Aleatoric Uncertainty — 2× in this paper · explained in 5 episodes
• Aperture — 2× in this paper · explained in 1 episode
• Domain Shift — 2× in this paper · explained in 4 episodes
• Epistemic Uncertainty — 2× in this paper · explained in 10 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Self-Supervised Learning — 2× in this paper · explained in 8 episodes
• Synthetic Aperture Radar — 2× in this paper
• Transfer Learning — 2× in this paper · explained in 10 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Unknown Class — 2× in this paper
• Adam — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Covariate Shift — 1× in this paper · explained in 2 episodes
• Cross Dataset — 1× in this paper
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Monte Carlo dropout — 1× in this paper · explained in 2 episodes
• SAR-Shift-Open Benchmark — 1× in this paper
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes

Sources

• A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
• Foundation Models for Generalist Geospatial Artificial Intelligence

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