DiCoR: Decoupled Referent Disambiguation and Contour Recalibration for Efficient Referring Remote Sensing Image Segmentation

arXiv:2608.12980 · cs.CV · Submitted 2026-08-13 · Read on arXiv

cs.CV

Submitted: 2026-08-13

Updated: 2026-09-26

Code: https://github.com/zyGao1126/DiCoR

Terminology

• Accuracy — 21× in this paper · explained in 1 episode
• Aggregation — 17× in this paper · explained in 1 episode
• Grounding — 17× in this paper · explained in 3 episodes
• Referring Remote Sensing Image Segmentation — 17× in this paper
• Ablation — 16× in this paper · explained in 1 episode
• Transformer — 12× in this paper · explained in 2 episodes
• Alignment — 11× in this paper · explained in 1 episode
• Lightweight Contour Recalibration — 11× in this paper
• Benchmark — 10× in this paper · explained in 2 episodes
• Foundation Model — 8× in this paper · explained in 3 episodes
• Decoupled Prompt Segmentation — 5× in this paper
• Joint Fusion Segmentation — 5× in this paper
• Decoupling — 4× in this paper · explained in 2 episodes
• Foundation Models — 4× in this paper · explained in 7 episodes
• Mask Generation — 4× in this paper · explained in 2 episodes
• Computational overhead — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Disambiguationaware Localization Guidance — 2× in this paper
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Instance Segmentation — 1× in this paper · explained in 3 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Segmentation Masks — 1× in this paper · explained in 2 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Visual Grounding — 1× in this paper · explained in 2 episodes

Sources

• Cross-Modal Bidirectional Interaction Model for Referring Remote Sensing Image Segmentation
• A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark
• Referring Remote Sensing Image Segmentation via Bidirectional Alignment Guided Joint Prediction
• Referring Remote Sensing Image Segmentation with Cross-view Semantics Interaction Network
• RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models
• SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model
• SegEarth-R2: Towards Comprehensive Language-guided Segmentation for Remote Sensing Images
• SAM 3: Segment Anything with Concepts
• EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model
• Semantic Localization Guiding Segment Anything Model For Reference Remote Sensing Image Segmentation

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