Generic formats like JSON or XML are easier to version than forms. However, they were not originally intended to be ...
Abstract: Oriented object detection in synthetic aperture radar (SAR) imagery often struggles to generalize to unknown domains, due to severe distribution shifts. Single-domain generalization ...
This paper addresses the domain generalization (DG) problem in deep learning. While most DG methods focus on enforcing visual feature invariance, we leverage the reasoning capability of multimodal ...
Earendil Labs’ AI-centered platform has produced more than 40 programs, including anti-inflammatory assets that have attracted a pair of partnership agreements with Sanofi. Earendil Labs will have ...
Abstract: Hyperspectral domain adaptation (HSDA) recontextualizes unsupervised domain adaptation (UDA) for the spectrally rich and structurally complex task of hyperspectral image classification (HSIC ...