CLIP-LIT trained using only hundreds of unpaired images yields favorable results on unseen backlit images captured in various scenarios. 📖 For more visual results, go checkout our project page.

Abstract: This article proposes a hierarchical double Dirichlet process mixture model (DDPMM) for multilook polarimetric synthetic aperture radar (PolSAR) data unsupervised classification.

The performance gap between unsupervised segmentation models and SAM can be significantly reduced. UnSAM not only advances the state-of-the-art in unsupervised segmentation by 10% but also achieves ...

Abstract: Deep domain adaptation has achieved promising results in cross-domain hyperspectral image (HSI) classification. However, existing methods often focus on aligning data distributions without ...