A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Abstract: Few-shot semantic segmentation (FSS) aims to segment unseen-category objects given only a few annotated samples. Although significant progress has been made in the field of FSS, selecting an ...

Abstract: The optical characteristics of transparent objects, specifically reflection and refraction, induce texture distortion and geometric information loss in RGB-D imagery, presenting critical ...

(left) Initial and (middle) after some development, with (right) the change highlighted. Change detection is a vital component of remote sensing analysis, enabling the monitoring of landscape changes ...

We propose ModuSeg, a training-free weakly supervised semantic segmentation framework that explicitly decouples object discovery and semantic retrieval for high-quality pixel-level predictions. Weakly ...