Remote sensing recognition is often constrained by scarce observations of rare targets and costly annotations, making realistic synthetic augmentation particularly valuable for few-shot and long-tailed scenarios. Object insertion provides an efficient way to increase target diversity while preserving authentic backgrou...
Xian-Chi Dong, Ying-Yan Hou, Chao Ren et al.· 0 citations
Open-vocabulary aerial object detection aims to detect objects outside the training sets, which typically involves distilling knowledge from pretrained vision-language models, e.g., RemoteCLIP, to inherit its generalizable recognition ability and thereby enabling the models to detect novel categories. However, existing...
Shu Tian, Zhen-Dong Huang, Lin Cao et al.· IEEE Journal of Selected Top...· 0 citations
Remote sensing (RS) underpins geospatial intelligence by enabling large-scale Earth observation (EO). Existing RS approaches are typically developed along two separate lines: multimodal understanding (MMU) and image generation. Such separation limits parameter sharing and the potential synergy between understanding and...
Ying-Yan Hou, Zi-Han Wei, Chao Ren et al.· IEEE Transactions on Geoscie...· 0 citations
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