32 citations · 33 across the 5 of their papers we have counts for
5 papers
FarSLIP: Discovering Effective CLIP Adaptation for Fine-Grained Remote Sensing Understanding
Zhenshi Li, Weikang Yu, Dilxat Muhtar +4
As CLIP's global alignment limits its ability to capture fine-grained details, recent efforts have focused on enhancing its region-text alignment. However, current remote sensing (…
EuroMineNet: A Multitemporal Sentinel-2 Benchmark for Spatiotemporal Mining Footprint Analysis in the European Union (2015-2024)
Weikang Yu, Vincent Nwazelibe, Xianping Ma +4
Mining activities are essential for industrial and economic development, but remain a leading source of environmental degradation, contributing to deforestation, soil erosion, and…
DOFA-CLIP: Multimodal Vision-Language Foundation Models for Earth Observation
Zhitong Xiong, Yi Wang, Weikang Yu +7
Earth observation (EO) spans a broad spectrum of modalities, including optical, radar, multispectral, and hyperspectral data, each capturing distinct environmental signals. However…
MineNetCD: A Benchmark for Global Mining Change Detection on Remote Sensing Imagery
Weikang Yu, Xiaokang Zhang, Xiao Xiang Zhu +2
Monitoring changes triggered by mining activities is crucial for industrial controlling, environmental management and regulatory compliance, yet it poses significant challenges due…
MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification
Weikang Yu, Xiaokang Zhang, Samiran Das +2
Change detection (CD) from remote sensing (RS) images using deep learning has been widely investigated in the literature. It is typically regarded as a pixel-wise labeling task tha…