Enhancing Foundation Models for Imbalanced SAR Ship Classification via Targeted Oversampling

arXiv:2609.31657 · 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

Code: https://github.com/cmawais/SARShipfoundationModels

Terminology

Accuracy — 25× in this paper · explained in 1 episode
Foundation Model — 17× in this paper · explained in 3 episodes
Embeddings — 16× in this paper · explained in 2 episodes
Foundation Models — 13× in this paper · explained in 7 episodes
Benchmark — 9× in this paper · explained in 2 episodes
Fine-Tuning — 7× in this paper · explained in 5 episodes
Adaptation — 5× in this paper · explained in 1 episode
Transfer Learning — 5× in this paper · explained in 10 episodes
Aperture — 4× in this paper · explained in 1 episode
Synthetic Aperture Radar — 3× in this paper
Data Augmentation — 2× in this paper · explained in 7 episodes
Adam — 1× in this paper · explained in 2 episodes
Domain Adaptation — 1× in this paper · explained in 5 episodes
Dynamic One-For-All — 1× in this paper
F1 Score — 1× in this paper · explained in 3 episodes
Generalization — 1× in this paper · explained in 13 episodes
Loss Function — 1× in this paper · explained in 2 episodes
Multimodal Fusion — 1× in this paper · explained in 3 episodes
Parameter-Efficient Fine-Tuning — 1× in this paper · explained in 2 episodes
Representation Learning — 1× in this paper · explained in 2 episodes
Self-Supervised Learning — 1× in this paper · explained in 7 episodes
Transformer — 1× in this paper · explained in 2 episodes

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