19 citations · 19 across the 4 of their papers we have counts for
4 papers
Remodeling Semantic Relationships in Vision-Language Fine-Tuning
Xiangyang Wu, Liu Liu, Baosheng Yu +2
Vision-language fine-tuning has emerged as an efficient paradigm for constructing multimodal foundation models. While textual context often highlights semantic relationships within…
MFogHub: Bridging Multi-Regional and Multi-Satellite Data for Global Marine Fog Detection and Forecasting
Mengqiu Xu, Kaixin Chen, Heng Guo +5
Deep learning approaches for marine fog detection and forecasting have outperformed traditional methods, demonstrating significant scientific and practical importance. However, the…
AgriFM: A Multi-source Temporal Remote Sensing Foundation Model for Agriculture Mapping
Wenyuan Li, Shunlin Liang, Keyan Chen +7
Accurate crop mapping fundamentally relies on modeling multi-scale spatiotemporal patterns, where spatial scales range from individual field textures to landscape-level context, an…
M4Fog: A Global Multi-Regional, Multi-Modal, and Multi-Stage Dataset for Marine Fog Detection and Forecasting to Bridge Ocean and Atmosphere
Mengqiu Xu, Ming Wu, Kaixin Chen +11
Marine fog poses a significant hazard to global shipping, necessitating effective detection and forecasting to reduce economic losses. In recent years, several machine learning (ML…