RSGPNet: Geometric Prompting for Remote Sensing Open-Vocabulary Semantic Segmentation

arXiv:2606.28410 · cs.CV, cs.AI · Submitted 2026-06-25 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-06-25

Updated: 2026-06-25

Comments: Open-vocabulary, Remote sensing, Geometric prompting, Multimodal large language model

DOI: 10.1109/JSTARS.2026.3725927

Code: https://github.com/wangshanwen001/RSGPNet

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Consistency — 24× in this paper · explained in 3 episodes
• Benchmark — 14× in this paper · explained in 2 episodes
• Ablation — 12× in this paper · explained in 1 episode
• Attention Mechanism — 9× in this paper · explained in 3 episodes
• Ablation study — 7× in this paper · explained in 1 episode
• Verification — 7× in this paper · explained in 2 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Alignment — 5× in this paper · explained in 1 episode
• Core — 5× in this paper · explained in 2 episodes
• Segmentation Masks — 5× in this paper · explained in 2 episodes
• Text-guided Coarse Mask — 5× in this paper
• Ablation Studies — 3× in this paper · explained in 1 episode
• Generalization — 3× in this paper · explained in 13 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Activation Function — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Embeddings — 2× in this paper · explained in 2 episodes
• Geometric Re-prompting Module — 2× in this paper
• Instance Segmentation — 2× in this paper · explained in 3 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Mask Generation — 2× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Coarse-to-fine Consistency Verification Mechanism — 1× in this paper
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Self-Distillation — 1× in this paper · explained in 7 episodes
• Training-Free Framework — 1× in this paper · explained in 2 episodes
• Vision-Language Models (VLMs) — 1× in this paper · explained in 6 episodes
• Vision-language models — 1× in this paper · explained in 2 episodes

Sources

• Seg2Change: Adapting Open-Vocabulary Semantic Segmentation Model for Remote Sensing Change Detection
• SAM 3: Segment Anything with Concepts

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