UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
Abstract: In recent years, deep learning-based synthetic aperture radar (SAR) image detection, recognition, and segmentation models achieve remarkable accuracy when trained on large amounts of SAR ...
OSDMamba: Enhancing Oil Spill Detection From Remote Sensing Images Using Selective State-Space Model
Abstract: Semantic segmentation is commonly used for oil spill detection (OSD) in remote sensing images. However, the limited availability of labeled oil spill samples and class imbalance present ...
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