4 papers
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…
Designing Domain-Specific Agents via Hierarchical Task Abstraction Mechanism
Kaiyu Li, Jiayu Wang, Zhi Wang +4
LLM-driven agents, particularly those using general frameworks like ReAct or human-inspired role-playing, often struggle in specialized domains that necessitate rigorously structur…
ZoomEarth: Active Perception for Ultra-High-Resolution Geospatial Vision-Language Tasks
Ruixun Liu, Bowen Fu, Jiayi Song +7
Ultra-high-resolution (UHR) remote sensing (RS) images offer rich fine-grained information but also present challenges in effective processing. Existing dynamic resolution and toke…
TerraGen: A Unified Multi-Task Layout Generation Framework for Remote Sensing Data Augmentation
Datao Tang, Hao Wang, Yudeng Xin +5
Remote sensing vision tasks require extensive labeled data across multiple, interconnected domains. However, current generative data augmentation frameworks are task-isolated, i.e.…