7 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 1 cited
Tuning a SAM-Based Model with Multi-Cognitive Visual Adapter to Remote Sensing Instance Segmentation
Linghao Zheng, Xinyang Pu, Feng Xu
The Segment Anything Model (SAM), a foundational model designed for promptable segmentation tasks, demonstrates exceptional generalization capabilities, making it highly promising…
cs.CV2024★ 7 cited
ClassWise-SAM-Adapter: Parameter Efficient Fine-tuning Adapts Segment Anything to SAR Domain for Semantic Segmentation
Xinyang Pu, Hecheng Jia, Linghao Zheng +2
In the realm of artificial intelligence, the emergence of foundation models, backed by high computing capabilities and extensive data, has been revolutionary. Segment Anything Mode…