64 citations · 232 across the 12 of their papers we have counts for
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cs.CV2023★ 18 cited
RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model
Keyan Chen, Chenyang Liu, Hao Chen +4
Leveraging the extensive training data from SA-1B, the Segment Anything Model (SAM) demonstrates remarkable generalization and zero-shot capabilities. However, as a category-agnost…
cs.CV2023★ 64 cited
Continuous Remote Sensing Image Super-Resolution based on Context Interaction in Implicit Function Space
Keyan Chen, Wenyuan Li, Sen Lei +4
Despite its fruitful applications in remote sensing, image super-resolution is troublesome to train and deploy as it handles different resolution magnifications with separate model…