📝 Selected Publications

SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model
Kaiyu Li, Zepeng Xin, Li Pang, Chao Pang, Yupeng Deng, Jing Yao, Guisong Xia, Deyu Meng, Zhi Wang, Xiangyong Cao

Project | Dataset | Code

• We introduce the geospatial pixel reasoning task, construct the first benchmark dataset (EarthReason), and propose a simple yet effective baseline (SegEarth-R1).

Media coverage: 【遥感与深度学习】SegEarth-R1: 遥感+推理大模型！Geospatial Pixel Reasoning|【视觉与遥感前沿】SegEarth-R1实现地理推理「类人思考」|【减论】|

SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images
Kaiyu Li, Ruixun Liu, Xiangyong Cao, Xueru Bai, Feng Zhou, Deyu Meng, Zhi Wang

Project | Bilibili | Code

• SegEarth-OV is the first to introduce training-free Open Vocabulary Semantic Segmentation into remote sensing images, which makes OVSS possible in remote sensing contexts.

Media coverage: 【遥感与深度学习】SegEarth-OV: 面向遥感图像的无训练开放词汇分割|【GISer阿兴】|【减论】|

DynamicEarth: How Far are We from Open-Vocabulary Change Detection?
Kaiyu Li, Xiangyong Cao, Yupeng Deng, Chao Pang, Zepeng Xin, Deyu Meng, Zhi Wang

Project

• We propose a new task, open-vocabulary change detection (OVCD).
• We propose two universal frameworks for OVCD.
• The first OVCD codebase, DynamicEarth, is released.

Open-CD: A Comprehensive Toolbox for Change Detection
Kaiyu Li, Jiawei Jiang, Andrea Codegoni, Chengxi Han, Yupeng Deng, Keyan Chen, Zhuo Zheng, Hao Chen, Zhengxia Zou, Zhenwei Shi, Sheng Fang, Deyu Meng, Zhi Wang, Xiangyong Cao

Project

• Open-CD is one of the most popular change detection toolkits.
• We launch the Open-CD Technical Report Plan (Open-CD TRP for shot). We invite some authors to introduce their algorithms and participate in the construction of the Open-CD codebase. This plan is under active development and we will keep this report updated.

SemiCD-VL: Visual-Language Model Guidance Makes Better Semi-supervised Change Detector
Kaiyu Li, Xiangyong Cao, Yupeng Deng, Junmin Liu, Deyu Meng, Zhi Wang

Code

• This work is the first to introduce visual language models to the semi-supervised change detection task.

A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detection
Kaiyu Li, Xiangyong Cao, Deyu Meng

🏆️ ESI Highly Cited Paper

Code

• BAN is the first universal framework to adapt the foundation model to the change detection task.