Restrict, Don't Retrain: Inference-Time VLM Guidance for Zero-Shot Aerial Segmentation

arXiv:2609.00628 · cs.CV, cs.AI · Submitted 2026-09-01 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-01

Updated: 2026-09-01

Terminology

• Foundation Model — 10× in this paper · explained in 3 episodes
• Fine-Tuning — 6× in this paper · explained in 5 episodes
• Minority Class Identification — 6× in this paper
• Benchmark — 5× in this paper · explained in 2 episodes
• Automated Class Weighting — 4× in this paper
• Transformer — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Accuracy — 3× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Instance Segmentation — 1× in this paper · explained in 3 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• Vision-Language Model (VLM) — 1× in this paper · explained in 3 episodes
• Zero-Shot Transfer — 1× in this paper · explained in 3 episodes

Sources

• What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation
• Per-Pixel Classification is Not All You Need for Semantic Segmentation
• Investigating the Challenges of Class Imbalance and Scale Variation in Object Detection in Aerial Images
• Think Before You Segment: High-Quality Reasoning Segmentation with GPT Chain of Thoughts
• RemoteCLIP: A Vision Language Foundation Model for Remote Sensing
• Vision-Language Models in Remote Sensing: Current Progress and Future Trends

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