Due to the homogeneous backgrounds and cluttered layouts of remote sensing (RS) imagery, fine-grained local entities are indispensable for preventing cross-modal semantic mismatch. However, existing parameter-efficient fine-tuning (PEFT) methods based on contrastive language-image pretraining (CLIP) encapsulate scenes...
Meng-Ru Ma, Jia-Xu Guo, Wen-Ping Ma et al.· IEEE Transactions on Geoscie...· 0 citations
In recent years, small object detection in remote sensing images has been widely applied in many fields, yet it still faces several serious challenges. On one hand, small objects inherently have weak features and are easily disturbed by complex backgrounds. On the other hand, small objects in remote sensing images are...
Wen-Ping Ma, Zhen-Yu Hu, Hao Zhu et al.· IEEE Transactions on Geoscie...· 0 citations
To relieve the problems of the lack of semantic alignment in the geometric representation space and insufficient modality-specific instruction calibration in infrared-visible image fusion (IVIF), we first propose a dynamic instruction-aware geometric representation (DIGR) for IVIF, which achieves semantic alignment bet...
Meng-Ru Ma, Yong-Zhe Wang, Wen-Ping Ma et al.· IEEE Transactions on Geoscie...· 0 citations
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