Gradient-Guided Decoupled Adaptation for Geospatial Vision-Language Models

arXiv:2609.32737 · cs.CV, cs.AI, cs.CL, cs.LG · Submitted 2026-09-26 · Read on arXiv

cs.CV, cs.AI, cs.CL, cs.LG

Submitted: 2026-09-26

Updated: 2026-09-26

Terminology

Benchmark — 23× in this paper · explained in 2 episodes
Decoupling — 19× in this paper · explained in 2 episodes
Adaptation — 13× in this paper · explained in 1 episode
Cosine Similarity — 10× in this paper · explained in 3 episodes
Ablation — 3× in this paper · explained in 1 episode
Accuracy — 3× in this paper · explained in 1 episode
Ablation study — 2× in this paper · explained in 1 episode
Alignment — 2× in this paper · explained in 1 episode
Catastrophic Forgetting — 2× in this paper · explained in 5 episodes
Continual Learning — 2× in this paper · explained in 2 episodes
Foundation Model — 2× in this paper · explained in 3 episodes
Foundation Models — 2× in this paper · explained in 7 episodes
Instruction Tuning — 2× in this paper · explained in 2 episodes
AdamW Optimizer — 1× in this paper · explained in 1 episode
Generalization — 1× in this paper · explained in 13 episodes
Grounding — 1× in this paper · explained in 3 episodes
LoRA Adapters — 1× in this paper · explained in 3 episodes
Multi-objective Optimization — 1× in this paper · explained in 4 episodes
Multimodal Reasoning — 1× in this paper · explained in 5 episodes
Representation Learning — 1× in this paper · explained in 2 episodes
Transferability — 1× in this paper · explained in 4 episodes
Vision-Language Models (VLMs) — 1× in this paper · explained in 6 episodes

Sources

Qwen Technical Report

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