most citedDynamicEarth: How Far are We from Open-Vocabulary Change Detection?

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

OVEarth-Bench: Evaluating Category Breadth and Query Diversity for Open-Vocabulary Earth Observation

Kaiyu Li, Zepeng Xin, Zixuan Jiang +4

Open-vocabulary Earth observation (EO) aims to localize geospatial concepts specified in natural language rather than a fixed label set. Existing benchmarks, however, usually cover…

cs.AI2026

Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle

Jiayu Wang, Weijiang Lv, Bowen Fu +8

As foundation models advance and agent scaffolding becomes increasingly sophisticated, agents have demonstrated remarkable proficiency in complex, long-horizon coding tasks and eve…

cs.CV2025

SegEarth-R2: Towards Comprehensive Language-guided Segmentation for Remote Sensing Images

Zepeng Xin, Kaiyu Li, Luodi Chen +6

Effectively grounding complex language to pixels in remote sensing (RS) images is a critical challenge for applications like disaster response and environmental monitoring. Current…

cs.CV2025★ 1 cited

SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Kaiyu Li, Zepeng Xin, Li Pang +7

Remote sensing has become critical for understanding environmental dynamics, urban planning, and disaster management. However, traditional remote sensing workflows often rely on ex…

cs.CV2025★ 1 cited

DynamicEarth: How Far are We from Open-Vocabulary Change Detection?

Kaiyu Li, Xiangyong Cao, Yupeng Deng +4

Monitoring Earth's evolving land covers requires methods capable of detecting changes across a wide range of categories and contexts. Existing change detection methods are hindered…