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: Deep learning has significantly impacted the physical layer of wireless communications, leading to rapid advancements in this field. Auto-encoder, a self-supervised learning framework, has ...

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 ...

Deep learning-based models have been shown to improve the accuracy of fingerprint recognition. While these algorithms show exceptional performance, they require large-scale fingerprint datasets for ...