To fill this gap, we propose two attention-mechanism-based encoder–decoder models that incorporate multisource information: one is MAEDDI, which can predict DDIs, and the other is MAEDDIE, which can ...

The demo also shows how a trained autoencoder can be deployed on an embedded system ... Autoencoders are based on neural networks, and the network consists of two parts: an encoder and a decoder.

First, to reduce the distance between multi-source homogeneous signals in the feature space, we design a novel Contrastive Pairs AutoEncoder (CPAE), which is for feature alignment before aggregating ...

The streaming encoder/decoder is a standalone device that converts one channel of SDI or HDMI to or from NDI HX formats. For users who need a 4Kp60 NDI HX encoder, it offers a configurable encoding ...

This paper introduces GeneA-SLAM2, an RGB-D SLAM system for dynamic environments. It eliminates dynamic object interference via depth statistical information and enhances keypoint distribution ...

Three modules, namely GMM, GFFRM and MFIM, are embedded in U-shaped encoder-decoder architecture to establish a novel RDH predictor GURNet. Extensive experiments implemented on four publicly available ...