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Found 3 papers, 1 papers with code
Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery
Moreover, we study the performance of both visual and image-text features, namely DINOv2 and CLIP, including two CLIP models specifically tailored for remote sensing applications.
Portraying the Need for Temporal Data in Flood Detection via Sentinel-1
Identifying flood affected areas in remote sensing data is a critical problem in earth observation to analyze flood impact and drive responses.
Reducing False Alarms in Video Surveillance by Deep Feature Statistical Modeling
Experimental results reveal that the proposed a-contrario validation is able to largely reduce the number of false alarms at both pixel and object levels.
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