Abstract: Auto-encoders have emerged as a successful framework for unsupervised learning. However, conventional auto-encoders are incapable of utilizing explicit relations in structured data. To take ...

We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...

Abstract: This article presents a new type of electromagnetic encoders based on step-impedance resonators (SIRs). The encoders consist of a linear chain of transversely oriented SIRs etched on a ...