GeoSeg: Training-Free Reasoning-Driven Segmentation in Remote Sensing Imagery

Export BriefConnect with Author
View PDF ↗
PDF Viewer
Open Full PDF

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $9K - $13K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (37)

[1]
SegEarth-R2: Towards Comprehensive Language-guided Segmentation for Remote Sensing Images
2025Zepeng Xin, Kaiyu Li et al.
[2]
SAM 3: Segment Anything with Concepts
2025Nicolas Carion, Laura Gustafson et al.
[3]
HunyuanImage 3.0 Technical Report
2025Siyu Cao, Hangting Chen et al.
[4]
Qwen-Image Technical Report
2025Chenfei Wu, Jiahao Li et al.
[5]
OmniGen2: Exploration to Advanced Multimodal Generation
2025Chenyuan Wu, Pengfei Zheng et al.
[6]
OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning
2025Zongyan Han, Jiale Cao et al.
[7]
Emerging Properties in Unified Multimodal Pretraining
2025Chaorui Deng, Deyao Zhu et al.
[8]
Qwen3 Technical Report
2025An Yang, Anfeng Li et al.
[9]
Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement
2025Yuqi Liu, Bohao Peng et al.
[10]
Open-Vocabulary Remote Sensing Image Semantic Segmentation
2024Qinglong Cao, Yuntian Chen et al.
[11]
SAM 2: Segment Anything in Images and Videos
2024Nikhila Ravi, Valentin Gabeur et al.
[12]
LaSagnA: Language-based Segmentation Assistant for Complex Queries
2024Cong Wei, Haoxian Tan et al.
[13]
RSMamba: Remote Sensing Image Classification With State Space Model
2024Keyan Chen, Bo-Ying Chen et al.
[14]
PSALM: Pixelwise SegmentAtion with Large Multi-Modal Model
2024Zheng Zhang, Yeyao Ma et al.
[15]
Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks
2024Tianhe Ren, Shilong Liu et al.
[16]
GSVA: Generalized Segmentation via Multimodal Large Language Models
2023Zhuofan Xia, Dongchen Han et al.
[17]
PixelLM: Pixel Reasoning with Large Multimodal Model
2023Zhongwei Ren, Zhicheng Huang et al.
[18]
GLaMM: Pixel Grounding Large Multimodal Model
2023H. Rasheed, Muhammad Maaz et al.
[19]
RemoteCLIP: A Vision Language Foundation Model for Remote Sensing
2023F. Liu, Delong Chen et al.
[20]
Segment Everything Everywhere All at Once
2023Xueyan Zou, Jianwei Yang et al.

Showing 20 of 37 references

Founder's Pitch

"GeoSeg offers a zero-shot, training-free framework for effective remote sensing image segmentation using reasoning-based methods."

Remote SensingScore: 6View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

3/4 signals

7.5

Series A Potential

2/4 signals

5

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 3/4/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.

Related Papers

Loading…