3 citations · 4 across the 3 of their papers we have counts for
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cs.CV2025
RS-OOD: A Vision-Language Augmented Framework for Out-of-Distribution Detection in Remote Sensing
Chenhao Wang, Yingrui Ji, Yu Meng +2
Out-of-distribution (OOD) detection represents a critical challenge in remote sensing applications, where reliable identification of novel or anomalous patterns is essential for au…
cs.CV2025★ 1 cited
SOPSeg: Prompt-based Small Object Instance Segmentation in Remote Sensing Imagery
Chenhao Wang, Yingrui Ji, Yu Meng +2
Extracting small objects from remote sensing imagery plays a vital role in various applications, including urban planning, environmental monitoring, and disaster management. While…
cs.CV2025★ 3 cited
IRSAMap:Towards Large-Scale, High-Resolution Land Cover Map Vectorization
Yu Meng, Ligao Deng, Zhihao Xi +9
With the enhancement of remote sensing image resolution and the rapid advancement of deep learning, land cover mapping is transitioning from pixel-level segmentation to object-base…