3 papers
cs.CV2025
Enhancing SAR Object Detection with Self-Supervised Pre-training on Masked Auto-Encoders
Xinyang Pu, Feng Xu
Supervised fine-tuning methods (SFT) perform great efficiency on artificial intelligence interpretation in SAR images, leveraging the powerful representation knowledge from pre-tra…
cs.CV2024
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
Low-Rank Adaption on Transformer-based Oriented Object Detector for Satellite Onboard Processing of Remote Sensing Images
Xinyang Pu, Feng Xu
Deep learning models in satellite onboard enable real-time interpretation of remote sensing images, reducing the need for data transmission to the ground and conserving communicati…